---
_id: '32409'
abstract:
- lang: eng
text: 'Context: Cryptographic APIs are often misused in real-world applications.
Therefore, many cryptographic API misuse detection tools have been introduced.
However, there exists no established reference benchmark for a fair and comprehensive
comparison and evaluation of these tools. While there are benchmarks, they often
only address a subset of the domain or were only used to evaluate a subset of
existing misuse detection tools. Objective: To fairly compare cryptographic API
misuse detection tools and to drive future development in this domain, we will
devise such a benchmark. Openness and transparency in the generation process are
key factors to fairly generate and establish the needed benchmark. Method: We
propose an approach where we derive the benchmark generation methodology from
the literature which consists of general best practices in benchmarking and domain-specific
benchmark generation. A part of this methodology is transparency and openness
of the generation process, which is achieved by pre-registering this work. Based
on our methodology we design CamBench, a fair "Cryptographic API Misuse Detection
Tool Benchmark Suite". We will implement the first version of CamBench limiting
the domain to Java, the JCA, and static analyses. Finally, we will use CamBench
to compare current misuse detection tools and compare CamBench to related benchmarks
of its domain.'
author:
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Anna-Katharina
full_name: Wickert, Anna-Katharina
last_name: Wickert
- first_name: Stefan
full_name: Krüger, Stefan
last_name: Krüger
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
- first_name: Mira
full_name: Mezini, Mira
last_name: Mezini
citation:
ama: Schlichtig M, Wickert A-K, Krüger S, Bodden E, Mezini M. CamBench -- Cryptographic
API Misuse Detection Tool Benchmark Suite.; 2022. doi:10.48550/ARXIV.2204.06447
apa: Schlichtig, M., Wickert, A.-K., Krüger, S., Bodden, E., & Mezini, M. (2022).
CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite. https://doi.org/10.48550/ARXIV.2204.06447
bibtex: '@book{Schlichtig_Wickert_Krüger_Bodden_Mezini_2022, title={CamBench --
Cryptographic API Misuse Detection Tool Benchmark Suite}, DOI={10.48550/ARXIV.2204.06447},
author={Schlichtig, Michael and Wickert, Anna-Katharina and Krüger, Stefan and
Bodden, Eric and Mezini, Mira}, year={2022} }'
chicago: Schlichtig, Michael, Anna-Katharina Wickert, Stefan Krüger, Eric Bodden,
and Mira Mezini. CamBench -- Cryptographic API Misuse Detection Tool Benchmark
Suite, 2022. https://doi.org/10.48550/ARXIV.2204.06447.
ieee: M. Schlichtig, A.-K. Wickert, S. Krüger, E. Bodden, and M. Mezini, CamBench
-- Cryptographic API Misuse Detection Tool Benchmark Suite. 2022.
mla: Schlichtig, Michael, et al. CamBench -- Cryptographic API Misuse Detection
Tool Benchmark Suite. 2022, doi:10.48550/ARXIV.2204.06447.
short: M. Schlichtig, A.-K. Wickert, S. Krüger, E. Bodden, M. Mezini, CamBench --
Cryptographic API Misuse Detection Tool Benchmark Suite, 2022.
date_created: 2022-07-25T07:56:59Z
date_updated: 2022-07-25T10:23:44Z
department:
- _id: '76'
doi: 10.48550/ARXIV.2204.06447
keyword:
- cryptography
- benchmark
- API misuse
- static analysis
language:
- iso: eng
related_material:
link:
- relation: confirmation
url: https://arxiv.org/abs/2204.06447
status: public
title: CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite
type: misc
user_id: '32312'
year: '2022'
...
---
_id: '32410'
abstract:
- lang: eng
text: "Static analysis tools support developers in detecting potential coding issues,
such as bugs or vulnerabilities. Research on static analysis emphasizes its technical
challenges but also mentions severe usability shortcomings. These shortcomings
hinder the adoption of static analysis tools, and in some cases, user dissatisfaction
even leads to tool abandonment.\r\nTo comprehensively assess the current state
of the art, this paper presents the first systematic usability evaluation in a
wide range of static analysis tools. We derived a set of 36 relevant criteria
from the scientific literature and gathered a collection of 46 static analysis
tools complying with our inclusion and exclusion criteria - a representative set
of mainly non-proprietary tools. Then, we evaluated how well these tools fulfill
the aforementioned criteria.\r\nThe evaluation shows that more than half of the
considered tools offer poor warning messages, while about three-quarters of the
tools provide hardly any fix support. Furthermore, the integration of user knowledge
is strongly neglected, which could be used for improved handling of false positives
and tuning the results for the corresponding developer. Finally, issues regarding
workflow integration and specialized user interfaces are proved further.\r\nThese
findings should prove useful in guiding and focusing further research and development
in the area of user experience for static code analyses."
author:
- first_name: Marcus
full_name: Nachtigall, Marcus
id: '41213'
last_name: Nachtigall
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Nachtigall M, Schlichtig M, Bodden E. A Large-Scale Study of Usability Criteria
Addressed by Static Analysis Tools. In: Proceedings of the 31st ACM SIGSOFT
International Symposium on Software Testing and Analysis. ACM; 2022:532-543.
doi:10.1145/3533767'
apa: Nachtigall, M., Schlichtig, M., & Bodden, E. (2022). A Large-Scale Study
of Usability Criteria Addressed by Static Analysis Tools. Proceedings of the
31st ACM SIGSOFT International Symposium on Software Testing and Analysis,
532–543. https://doi.org/10.1145/3533767
bibtex: '@inproceedings{Nachtigall_Schlichtig_Bodden_2022, title={A Large-Scale
Study of Usability Criteria Addressed by Static Analysis Tools}, DOI={10.1145/3533767},
booktitle={Proceedings of the 31st ACM SIGSOFT International Symposium on Software
Testing and Analysis}, publisher={ACM}, author={Nachtigall, Marcus and Schlichtig,
Michael and Bodden, Eric}, year={2022}, pages={532–543} }'
chicago: Nachtigall, Marcus, Michael Schlichtig, and Eric Bodden. “A Large-Scale
Study of Usability Criteria Addressed by Static Analysis Tools.” In Proceedings
of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis,
532–43. ACM, 2022. https://doi.org/10.1145/3533767.
ieee: 'M. Nachtigall, M. Schlichtig, and E. Bodden, “A Large-Scale Study of Usability
Criteria Addressed by Static Analysis Tools,” in Proceedings of the 31st ACM
SIGSOFT International Symposium on Software Testing and Analysis, 2022, pp.
532–543, doi: 10.1145/3533767.'
mla: Nachtigall, Marcus, et al. “A Large-Scale Study of Usability Criteria Addressed
by Static Analysis Tools.” Proceedings of the 31st ACM SIGSOFT International
Symposium on Software Testing and Analysis, ACM, 2022, pp. 532–43, doi:10.1145/3533767.
short: 'M. Nachtigall, M. Schlichtig, E. Bodden, in: Proceedings of the 31st ACM
SIGSOFT International Symposium on Software Testing and Analysis, ACM, 2022, pp.
532–543.'
date_created: 2022-07-25T08:02:36Z
date_updated: 2022-07-26T11:42:23Z
department:
- _id: '76'
doi: 10.1145/3533767
keyword:
- Automated static analysis
- Software usability
language:
- iso: eng
page: 532 - 543
publication: Proceedings of the 31st ACM SIGSOFT International Symposium on Software
Testing and Analysis
publication_identifier:
isbn:
- '9781450393799'
publication_status: published
publisher: ACM
quality_controlled: '1'
related_material:
link:
- relation: confirmation
url: https://dl.acm.org/doi/10.1145/3533767.3534374
status: public
title: A Large-Scale Study of Usability Criteria Addressed by Static Analysis Tools
type: conference
user_id: '32312'
year: '2022'
...
---
_id: '31133'
abstract:
- lang: eng
text: Application Programming Interfaces (APIs) are the primary mechanism that developers
use to obtain access to third-party algorithms and services. Unfortunately, APIs
can be misused, which can have catastrophic consequences, especially if the APIs
provide security-critical functionalities like cryptography. Understanding what
API misuses are, and for what reasons they are caused, is important to prevent
them, e.g., with API misuse detectors. However, definitions and nominations for
API misuses and related terms in literature vary and are diverse. This paper addresses
the problem of scattered knowledge and definitions of API misuses by presenting
a systematic literature review on the subject and introducing FUM, a novel Framework
for API Usage constraint and Misuse classification. The literature review revealed
that API misuses are violations of API usage constraints. To capture this, we
provide unified definitions and use them to derive FUM. To assess the extent to
which FUM aids in determining and guiding the improvement of an API misuses detectors'
capabilities, we performed a case study on CogniCrypt, a state-of-the-art misuse
detector for cryptographic APIs. The study showed that FUM can be used to properly
assess CogniCrypt's capabilities, identify weaknesses and assist in deriving mitigations
and improvements. And it appears that also more generally FUM can aid the development
and improvement of misuse detection tools.
author:
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Steffen
full_name: Sassalla, Steffen
last_name: Sassalla
- first_name: Krishna
full_name: Narasimhan, Krishna
last_name: Narasimhan
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Schlichtig M, Sassalla S, Narasimhan K, Bodden E. FUM - A Framework for API
Usage constraint and Misuse Classification. In: 2022 IEEE International Conference
on Software Analysis, Evolution and Reengineering (SANER). ; 2022:673-684.
doi:https://doi.org/10.1109/SANER53432.2022.00085'
apa: Schlichtig, M., Sassalla, S., Narasimhan, K., & Bodden, E. (2022). FUM
- A Framework for API Usage constraint and Misuse Classification. 2022 IEEE
International Conference on Software Analysis, Evolution and Reengineering (SANER),
673–684. https://doi.org/10.1109/SANER53432.2022.00085
bibtex: '@inproceedings{Schlichtig_Sassalla_Narasimhan_Bodden_2022, title={FUM -
A Framework for API Usage constraint and Misuse Classification}, DOI={https://doi.org/10.1109/SANER53432.2022.00085},
booktitle={2022 IEEE International Conference on Software Analysis, Evolution
and Reengineering (SANER)}, author={Schlichtig, Michael and Sassalla, Steffen
and Narasimhan, Krishna and Bodden, Eric}, year={2022}, pages={673–684} }'
chicago: Schlichtig, Michael, Steffen Sassalla, Krishna Narasimhan, and Eric Bodden.
“FUM - A Framework for API Usage Constraint and Misuse Classification.” In 2022
IEEE International Conference on Software Analysis, Evolution and Reengineering
(SANER), 673–84, 2022. https://doi.org/10.1109/SANER53432.2022.00085.
ieee: 'M. Schlichtig, S. Sassalla, K. Narasimhan, and E. Bodden, “FUM - A Framework
for API Usage constraint and Misuse Classification,” in 2022 IEEE International
Conference on Software Analysis, Evolution and Reengineering (SANER), 2022,
pp. 673–684, doi: https://doi.org/10.1109/SANER53432.2022.00085.'
mla: Schlichtig, Michael, et al. “FUM - A Framework for API Usage Constraint and
Misuse Classification.” 2022 IEEE International Conference on Software Analysis,
Evolution and Reengineering (SANER), 2022, pp. 673–84, doi:https://doi.org/10.1109/SANER53432.2022.00085.
short: 'M. Schlichtig, S. Sassalla, K. Narasimhan, E. Bodden, in: 2022 IEEE International
Conference on Software Analysis, Evolution and Reengineering (SANER), 2022, pp.
673–684.'
date_created: 2022-05-09T13:04:10Z
date_updated: 2022-07-26T11:42:30Z
department:
- _id: '76'
doi: https://doi.org/10.1109/SANER53432.2022.00085
keyword:
- API misuses
- API usage constraints
- classification framework
- API misuse detection
- static analysis
language:
- iso: eng
page: 673 - 684
publication: 2022 IEEE International Conference on Software Analysis, Evolution and
Reengineering (SANER)
quality_controlled: '1'
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/document/9825763
status: public
title: FUM - A Framework for API Usage constraint and Misuse Classification
type: conference
user_id: '32312'
year: '2022'
...
---
_id: '33959'
abstract:
- lang: eng
text: Recent studies have revealed that 87 % to 96 % of the Android apps using cryptographic
APIs have a misuse which may cause security vulnerabilities. As previous studies
did not conduct a qualitative examination of the validity and severity of the
findings, our objective was to understand the findings in more depth. We analyzed
a set of 936 open-source Java applications for cryptographic misuses. Our study
reveals that 88.10 % of the analyzed applications fail to use cryptographic APIs
securely. Through our manual analysis of a random sample, we gained new insights
into effective false positives. For example, every fourth misuse of the frequently
misused JCA class MessageDigest is an effective false positive due to its occurrence
in a non-security context. As we wanted to gain deeper insights into the security
implications of these misuses, we created an extensive vulnerability model for
cryptographic API misuses. Our model includes previously undiscussed attacks in
the context of cryptographic APIs such as DoS attacks. This model reveals that
nearly half of the misuses are of high severity, e.g., hard-coded credentials
and potential Man-in-the-Middle attacks.
author:
- first_name: Anna-Katharina
full_name: Wickert, Anna-Katharina
last_name: Wickert
- first_name: Lars
full_name: Baumgärtner, Lars
last_name: Baumgärtner
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Mira
full_name: Mezini, Mira
last_name: Mezini
citation:
ama: 'Wickert A-K, Baumgärtner L, Schlichtig M, Mezini M. To Fix or Not to Fix:
A Critical Study of Crypto-Misuses in the Wild.; 2022. doi:10.48550/ARXIV.2209.11103'
apa: 'Wickert, A.-K., Baumgärtner, L., Schlichtig, M., & Mezini, M. (2022).
To Fix or Not to Fix: A Critical Study of Crypto-misuses in the Wild. https://doi.org/10.48550/ARXIV.2209.11103'
bibtex: '@book{Wickert_Baumgärtner_Schlichtig_Mezini_2022, title={To Fix or Not
to Fix: A Critical Study of Crypto-misuses in the Wild}, DOI={10.48550/ARXIV.2209.11103},
author={Wickert, Anna-Katharina and Baumgärtner, Lars and Schlichtig, Michael
and Mezini, Mira}, year={2022} }'
chicago: 'Wickert, Anna-Katharina, Lars Baumgärtner, Michael Schlichtig, and Mira
Mezini. To Fix or Not to Fix: A Critical Study of Crypto-Misuses in the Wild,
2022. https://doi.org/10.48550/ARXIV.2209.11103.'
ieee: 'A.-K. Wickert, L. Baumgärtner, M. Schlichtig, and M. Mezini, To Fix or
Not to Fix: A Critical Study of Crypto-misuses in the Wild. 2022.'
mla: 'Wickert, Anna-Katharina, et al. To Fix or Not to Fix: A Critical Study
of Crypto-Misuses in the Wild. 2022, doi:10.48550/ARXIV.2209.11103.'
short: 'A.-K. Wickert, L. Baumgärtner, M. Schlichtig, M. Mezini, To Fix or Not to
Fix: A Critical Study of Crypto-Misuses in the Wild, 2022.'
date_created: 2022-10-28T13:21:05Z
date_updated: 2022-10-28T13:26:39Z
department:
- _id: '76'
doi: 10.48550/ARXIV.2209.11103
language:
- iso: eng
related_material:
link:
- relation: confirmation
url: https://arxiv.org/abs/2209.11103
status: public
title: 'To Fix or Not to Fix: A Critical Study of Crypto-misuses in the Wild'
type: misc
user_id: '32312'
year: '2022'
...
---
_id: '29298'
abstract:
- lang: ger
text: "Die Themen „Big Data“, „Künstliche Intelligenz und „Data Science“ werden
seit einiger Zeit nicht nur in der breiten Öffentlichkeit kontrovers diskutiert,
sondern stellen für die Ausbildung in den IT- und IT-nahen Berufen schon heute
neue Herausforderungen dar, die in Zukunft durch die gesellschaftliche und technologische
Weiterentwicklung hin zu einer Datengesellschaft noch größer werden.\r\nAn dieser
Stelle stellt sich die Frage, welche Aspekte dieses großen Themenkomplexes für
Schule und Ausbildung von Wichtigkeit sind und wie diese Themen sinnstiftend und
gewinnbringend in die informatische Ausbildung in verschiedenen Bildungsgängen
integriert werden können. Im Rahmen des von uns im Jahr 2017 organisierten Symposiums
zum Thema „Data Science“ wurden für die Bildung relevante Aspekte erörtert, wodurch
als Kernelemente für den Unterricht Algorithmen der Künstlichen Intelligenz und
ihre Anwendung in Industrie und Gesellschaft, Explorationen von Big Data sowie
der Umgang mit eigenen Daten in sozialen Netzwerken herausgearbeitet wurden. Ziel
ist, aus diesen Themenbereichen sowohl ein umfassendes Curriculum als auch Module
für verschiedene Unterrichtsszenarien zu entwickeln und zu erproben. Durch diese
Materialien soll es Lehrkräften aus der Informatik, Mathematik oder Technik ermöglicht
werden, diese Themen auf Basis des Curriculums und der erprobten Unterrichtskonzepte
selbst zu unterrichten.\r\nHierfür wurde im Rahmen des Projekts ProDaBi (Projekt
Data Science und Big Data in der Schule, https://www.prodabi.de), initiiert von
der Telekom Stiftung, ein experimenteller Projektkurs entwickelt, den wir mit
Schüler:innen der Sekundarstufe II an der Universität Paderborn im Schuljahr 2018/19
durchführten. Dieser Kurs enthält neben einem Modul zur Exploration von Big Data
und einem weiteren Modul zum Maschinellen Lernen als Teil der Künstlichen Intelligenz
auch eine Projektphase, die es in Zusammenarbeit mit lokalen Unternehmen den Schüler:innen\r\nermöglicht,
das Erlernte in ein reales Data Science-Projekt einzubringen. Aus den Erfahrungen
dieses Projektkurses sowie den parallel durchgeführten Erprobungen einzelner Bausteine
auch mit beruflichen Schulen werden ab dem Schuljahr 2019/20 die hierfür verwendeten
Materialien weiterentwickelt und weiteren Kooperationspartnern zur Erprobung zur
Verfügung gestellt. Damit wurden zum Ende des Projekts nicht nur vollständige
Unterrichtsmaterialien, sondern auch ein umfassendes Curriculum entwickelt."
- lang: eng
text: "The topics ”Big Data”, “Artificial Intelligence” and “Data Science” are controversially
discussed among the general public, but they present new challenges for training
in IT and IT-related professions. These challenges will become more important
in the future as a result of further social and technological development towards
a data society.\r\nAt this point, the question arises as to which aspects of this
large complex of topics are important for school and education, and how these
topics can be integrated in a meaningful and profitable way into informatics education
in vocational education. In 2017, we organized a symposium towards the topic “Data
Science” and discussed relevant aspects for general and vocational education.
Algorithms of artificial intelligence and their application in industry and society,
explorations of Big Data as well as the handling of one's own data in social networks
were worked out as core elements for teaching. For this reason, our aim is to
develop a comprehensive curriculum on this topic from these subject areas and
to develop and test modules for various teaching scenarios in order to enable
teachers from computer science, mathematics or technology to teach these topics
themselves.\r\nFor this purpose, an experimental project course was developed
within the framework of the ProDaBi project (Project Data Science and Big Data
at School, https://www.prodabi.de), which we conducted with students from upper
secondary classes at the University of Paderborn in the school year 2018/19. In
this course we try to address all these aspects. This course consists of several
modules: One module has been designed to teach the exploration of Big Data. Another
module encompasses aspects of machine learning as part of artificial intelligence.
The course concludes in a project phase which, in cooperation with local companies,
will enable the students to apply what they have learned into a real Data Science
project. Based on the experiences of this project course and the parallel testing
of individual modules with vocational schools, we will further develop the material
and make it available to other cooperation partners for testing, so that not only
complete teaching materials but also a comprehensive curriculum will have been
developed until the end of the project."
author:
- first_name: Simone Anna
full_name: Opel, Simone Anna
id: '72932'
last_name: Opel
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
citation:
ama: 'Opel SA, Schlichtig M. Data Science und Big Data in der beruflichen Bildung
– Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II. In: Vollmer
T, Karges T, Richter T, Schlömer B, Schütt-Sayed S, eds. Sammelband der 27.
Fachtagung der BAG Berufliche Bildung. Vol 55. Berufsbildung, Arbeit und Innovation.
wbv Media GmbH & Co. KG; 2020:176-194. doi:https://doi.org/10.3278/6004722w'
apa: Opel, S. A., & Schlichtig, M. (2020). Data Science und Big Data in der
beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe
II. In T. Vollmer, T. Karges, T. Richter, B. Schlömer, & S. Schütt-Sayed (Eds.),
Sammelband der 27. Fachtagung der BAG Berufliche Bildung (Vol. 55, pp.
176–194). wbv Media GmbH & Co. KG. https://doi.org/10.3278/6004722w
bibtex: '@inproceedings{Opel_Schlichtig_2020, place={Bielefeld}, series={Berufsbildung,
Arbeit und Innovation}, title={Data Science und Big Data in der beruflichen Bildung
– Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II}, volume={55},
DOI={https://doi.org/10.3278/6004722w},
booktitle={Sammelband der 27. Fachtagung der BAG Berufliche Bildung}, publisher={wbv
Media GmbH & Co. KG}, author={Opel, Simone Anna and Schlichtig, Michael},
editor={Vollmer, Thomas and Karges, Torben and Richter, Tim and Schlömer, Britta
and Schütt-Sayed, Sören}, year={2020}, pages={176–194}, collection={Berufsbildung,
Arbeit und Innovation} }'
chicago: 'Opel, Simone Anna, and Michael Schlichtig. “Data Science und Big Data
in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für
die Sekundarstufe II.” In Sammelband der 27. Fachtagung der BAG Berufliche
Bildung, edited by Thomas Vollmer, Torben Karges, Tim Richter, Britta Schlömer,
and Sören Schütt-Sayed, 55:176–94. Berufsbildung, Arbeit und Innovation. Bielefeld:
wbv Media GmbH & Co. KG, 2020. https://doi.org/10.3278/6004722w.'
ieee: 'S. A. Opel and M. Schlichtig, “Data Science und Big Data in der beruflichen
Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II,”
in Sammelband der 27. Fachtagung der BAG Berufliche Bildung, Siegen, 2020,
vol. 55, pp. 176–194, doi: https://doi.org/10.3278/6004722w.'
mla: Opel, Simone Anna, and Michael Schlichtig. “Data Science und Big Data in der
beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe
II.” Sammelband der 27. Fachtagung der BAG Berufliche Bildung, edited by
Thomas Vollmer et al., vol. 55, wbv Media GmbH & Co. KG, 2020, pp. 176–94,
doi:https://doi.org/10.3278/6004722w.
short: 'S.A. Opel, M. Schlichtig, in: T. Vollmer, T. Karges, T. Richter, B. Schlömer,
S. Schütt-Sayed (Eds.), Sammelband der 27. Fachtagung der BAG Berufliche Bildung,
wbv Media GmbH & Co. KG, Bielefeld, 2020, pp. 176–194.'
conference:
end_date: 2019-03-13
location: Siegen
name: 20. Hochschultage Berufliche Bildung (HTBB) "Digitale Welt - Bildung und Arbeit
in Transformationsgesellschaften".
start_date: 2019-03-11
date_created: 2022-01-12T16:43:38Z
date_updated: 2022-01-12T17:04:10Z
department:
- _id: '67'
doi: https://doi.org/10.3278/6004722w
editor:
- first_name: Thomas
full_name: Vollmer, Thomas
last_name: Vollmer
- first_name: Torben
full_name: Karges, Torben
last_name: Karges
- first_name: Tim
full_name: Richter, Tim
last_name: Richter
- first_name: Britta
full_name: Schlömer, Britta
last_name: Schlömer
- first_name: Sören
full_name: Schütt-Sayed, Sören
last_name: Schütt-Sayed
intvolume: ' 55'
keyword:
- Berufsbildung
- vocational education
- Ausbildung
- training
- berufliche Weiterbildung
- advanced vocational education
- Digitalisierung
- digitalization
- Unterricht
- teaching
- Lehrmethode
- teaching method
- Interdisziplinarität
- interdisciplinarity
- Fachdidaktik
- subject didactics
- Curriculum
- curriculum
- gewerblich-technischer Beruf
- vocational/technical occupation
- Fachkraft
- specialist
- Qualifikationsanforderungen
- qualification requirements
- Kompetenz
- competence
- Lehrerbildung
- teacher training
- Bundesrepublik Deutschland
- Federal Republic of Germany
language:
- iso: ger
main_file_link:
- open_access: '1'
url: https://library.oapen.org/handle/20.500.12657/43933
oa: '1'
page: 176-194
place: Bielefeld
publication: Sammelband der 27. Fachtagung der BAG Berufliche Bildung
publication_status: published
publisher: wbv Media GmbH & Co. KG
series_title: Berufsbildung, Arbeit und Innovation
status: public
title: Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung
eines Projektkurses für die Sekundarstufe II
type: conference
user_id: '32312'
volume: 55
year: '2020'
...
---
_id: '15332'
abstract:
- lang: eng
text: "Artificial intelligence (AI) has the potential for far-reaching – in our
opinion – irreversible changes.\r\nThey range from effects on the individual and
society to new societal and social issues. The question arises\r\nas to how students
can learn the basic functioning of AI systems, what areas of life and society
are affected\r\nby these and – most important – how their own lives are affected
by these changes. Therefore, we are developing and evaluating school materials
for the German ”Science Year AI”. It can be used for students of all\r\nschool
types from the seventh grade upwards and will be distributed to about 2000 schools
in autumn with\r\nthe support of the Federal Ministry of Education and Research.
The material deals with the following aspects\r\nof AI: Discussing everyday experiences
with AI, how does machine learning work, historical development\r\nof AI concepts,
difference between man and machine, future distribution of roles between man and
machine,\r\nin which AI world do we want to live and how much AI would we like
to have in our lives. Through an\r\naccompanying evaluation, high quality of the
technical content and didactic preparation is achieved in order\r\nto guarantee
the long-term applicability in the teaching context in the different age groups
and school types.\r\nIn this paper, we describe the current state of the material
development, the challenges arising, and the results\r\nof tests with different
classes to date. We also present first ideas for evaluating the results."
author:
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Simone Anna
full_name: Opel, Simone Anna
id: '72932'
last_name: Opel
- first_name: Lea
full_name: Budde, Lea
id: '32443'
last_name: Budde
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Schlichtig M, Opel SA, Budde L, Schulte C. Understanding Artificial Intelligence
– A Project for the Development of Comprehensive Teaching Material. In: Jasutė
E, Pozdniakov S, eds. ISSEP 2019 - 12th International Conference on Informatics
in Schools: Situation, Evaluation and Perspectives, Local Proceedings. Vol
12. ; 2019:65-73.'
apa: 'Schlichtig, M., Opel, S. A., Budde, L., & Schulte, C. (2019). Understanding
Artificial Intelligence – A Project for the Development of Comprehensive Teaching
Material. In E. Jasutė & S. Pozdniakov (Eds.), ISSEP 2019 - 12th International
conference on informatics in schools: Situation, evaluation and perspectives,
Local Proceedings (Vol. 12, pp. 65–73).'
bibtex: '@inproceedings{Schlichtig_Opel_Budde_Schulte_2019, title={Understanding
Artificial Intelligence – A Project for the Development of Comprehensive Teaching
Material}, volume={12}, booktitle={ISSEP 2019 - 12th International conference
on informatics in schools: Situation, evaluation and perspectives, Local Proceedings},
author={Schlichtig, Michael and Opel, Simone Anna and Budde, Lea and Schulte,
Carsten}, editor={Jasutė, Eglė and Pozdniakov, Sergei}, year={2019}, pages={65–73}
}'
chicago: 'Schlichtig, Michael, Simone Anna Opel, Lea Budde, and Carsten Schulte.
“Understanding Artificial Intelligence – A Project for the Development of Comprehensive
Teaching Material.” In ISSEP 2019 - 12th International Conference on Informatics
in Schools: Situation, Evaluation and Perspectives, Local Proceedings, edited
by Eglė Jasutė and Sergei Pozdniakov, 12:65–73, 2019.'
ieee: 'M. Schlichtig, S. A. Opel, L. Budde, and C. Schulte, “Understanding Artificial
Intelligence – A Project for the Development of Comprehensive Teaching Material,”
in ISSEP 2019 - 12th International conference on informatics in schools: Situation,
evaluation and perspectives, Local Proceedings, Lanarca, 2019, vol. 12, pp.
65–73.'
mla: 'Schlichtig, Michael, et al. “Understanding Artificial Intelligence – A Project
for the Development of Comprehensive Teaching Material.” ISSEP 2019 - 12th
International Conference on Informatics in Schools: Situation, Evaluation and
Perspectives, Local Proceedings, edited by Eglė Jasutė and Sergei Pozdniakov,
vol. 12, 2019, pp. 65–73.'
short: 'M. Schlichtig, S.A. Opel, L. Budde, C. Schulte, in: E. Jasutė, S. Pozdniakov
(Eds.), ISSEP 2019 - 12th International Conference on Informatics in Schools:
Situation, Evaluation and Perspectives, Local Proceedings, 2019, pp. 65–73.'
conference:
end_date: 2019-11-20
location: Lanarca
name: 'ISSEP 2019 - 12th International conference on informatics in schools: Situation,
evaluation and perspectives'
start_date: 2019-11-18
date_created: 2019-12-16T17:50:08Z
date_updated: 2022-07-26T11:41:41Z
department:
- _id: '67'
editor:
- first_name: Eglė
full_name: Jasutė, Eglė
last_name: Jasutė
- first_name: Sergei
full_name: Pozdniakov, Sergei
last_name: Pozdniakov
intvolume: ' 12'
keyword:
- Artificial Intelligence
- Machine Learning
- Teaching Material
- Societal Aspects
- Ethics. Social Aspects
- Science Year
- Simulation Game
language:
- iso: eng
main_file_link:
- url: http://cyprusconferences.org/issep2019/wp-content/uploads/2019/10/LocalISSEP-v5.pdf
page: 65 - 73
publication: 'ISSEP 2019 - 12th International conference on informatics in schools:
Situation, evaluation and perspectives, Local Proceedings'
publication_identifier:
isbn:
- 978-9925-553-27-3
publication_status: published
quality_controlled: '1'
status: public
title: Understanding Artificial Intelligence – A Project for the Development of Comprehensive
Teaching Material
type: conference
user_id: '32312'
volume: 12
year: '2019'
...
---
_id: '15640'
author:
- first_name: Simone Anna
full_name: Opel, Simone Anna
id: '72932'
last_name: Opel
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Rolf
full_name: Biehler, Rolf
last_name: Biehler
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
- first_name: Thomas
full_name: Wassong, Thomas
id: '21241'
last_name: Wassong
citation:
ama: 'Opel SA, Schlichtig M, Schulte C, et al. Entwicklung und Reflexion einer Unterrichtssequenz
zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. In:
INFOS. Vol P-288. LNI. Gesellschaft für Informatik; 2019:285-294.'
apa: Opel, S. A., Schlichtig, M., Schulte, C., Biehler, R., Frischemeier, D., Podworny,
S., & Wassong, T. (2019). Entwicklung und Reflexion einer Unterrichtssequenz
zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II. INFOS,
P-288, 285–294.
bibtex: '@inproceedings{Opel_Schlichtig_Schulte_Biehler_Frischemeier_Podworny_Wassong_2019,
series={LNI}, title={Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen
Lernen als Aspekt von Data Science in der Sekundarstufe II}, volume={P-288}, booktitle={INFOS},
publisher={Gesellschaft für Informatik}, author={Opel, Simone Anna and Schlichtig,
Michael and Schulte, Carsten and Biehler, Rolf and Frischemeier, Daniel and Podworny,
Susanne and Wassong, Thomas}, year={2019}, pages={285–294}, collection={LNI} }'
chicago: Opel, Simone Anna, Michael Schlichtig, Carsten Schulte, Rolf Biehler, Daniel
Frischemeier, Susanne Podworny, and Thomas Wassong. “Entwicklung und Reflexion
einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in
der Sekundarstufe II.” In INFOS, P-288:285–94. LNI. Gesellschaft für Informatik,
2019.
ieee: S. A. Opel et al., “Entwicklung und Reflexion einer Unterrichtssequenz
zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II,”
in INFOS, 2019, vol. P-288, pp. 285–294.
mla: Opel, Simone Anna, et al. “Entwicklung und Reflexion einer Unterrichtssequenz
zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II.”
INFOS, vol. P-288, Gesellschaft für Informatik, 2019, pp. 285–94.
short: 'S.A. Opel, M. Schlichtig, C. Schulte, R. Biehler, D. Frischemeier, S. Podworny,
T. Wassong, in: INFOS, Gesellschaft für Informatik, 2019, pp. 285–294.'
date_created: 2020-01-28T10:28:34Z
date_updated: 2022-07-26T11:42:05Z
department:
- _id: '67'
language:
- iso: ger
page: 285-294
publication: INFOS
publisher: Gesellschaft für Informatik
quality_controlled: '1'
series_title: LNI
status: public
title: Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen
als Aspekt von Data Science in der Sekundarstufe II
type: conference
user_id: '32312'
volume: P-288
year: '2019'
...
---
_id: '15641'
author:
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Simone Anna
full_name: Opel, Simone Anna
id: '72932'
last_name: Opel
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Rolf
full_name: Biehler, Rolf
last_name: Biehler
- first_name: Daniel
full_name: Frischemeier, Daniel
last_name: Frischemeier
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
- first_name: Thomas
full_name: Wassong, Thomas
id: '21241'
last_name: Wassong
citation:
ama: 'Schlichtig M, Opel SA, Schulte C, et al. Maschinelles Lernen im Unterricht
mit Jupyter Notebook. In: INFOS. Vol P-288. LNI. Gesellschaft für Informatik;
2019:385.'
apa: Schlichtig, M., Opel, S. A., Schulte, C., Biehler, R., Frischemeier, D., Podworny,
S., & Wassong, T. (2019). Maschinelles Lernen im Unterricht mit Jupyter Notebook.
INFOS, P-288, 385.
bibtex: '@inproceedings{Schlichtig_Opel_Schulte_Biehler_Frischemeier_Podworny_Wassong_2019,
series={LNI}, title={Maschinelles Lernen im Unterricht mit Jupyter Notebook},
volume={P-288}, booktitle={INFOS}, publisher={Gesellschaft für Informatik}, author={Schlichtig,
Michael and Opel, Simone Anna and Schulte, Carsten and Biehler, Rolf and Frischemeier,
Daniel and Podworny, Susanne and Wassong, Thomas}, year={2019}, pages={385}, collection={LNI}
}'
chicago: Schlichtig, Michael, Simone Anna Opel, Carsten Schulte, Rolf Biehler, Daniel
Frischemeier, Susanne Podworny, and Thomas Wassong. “Maschinelles Lernen im Unterricht
mit Jupyter Notebook.” In INFOS, P-288:385. LNI. Gesellschaft für Informatik,
2019.
ieee: M. Schlichtig et al., “Maschinelles Lernen im Unterricht mit Jupyter
Notebook,” in INFOS, 2019, vol. P-288, p. 385.
mla: Schlichtig, Michael, et al. “Maschinelles Lernen im Unterricht mit Jupyter
Notebook.” INFOS, vol. P-288, Gesellschaft für Informatik, 2019, p. 385.
short: 'M. Schlichtig, S.A. Opel, C. Schulte, R. Biehler, D. Frischemeier, S. Podworny,
T. Wassong, in: INFOS, Gesellschaft für Informatik, 2019, p. 385.'
date_created: 2020-01-28T10:28:35Z
date_updated: 2022-07-26T11:41:58Z
department:
- _id: '67'
language:
- iso: ger
page: '385'
publication: INFOS
publisher: Gesellschaft für Informatik
quality_controlled: '1'
series_title: LNI
status: public
title: Maschinelles Lernen im Unterricht mit Jupyter Notebook
type: conference
user_id: '32312'
volume: P-288
year: '2019'
...
---
_id: '15643'
author:
- first_name: Simone Anna
full_name: Opel, Simone Anna
id: '72932'
last_name: Opel
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
orcid: 0000-0001-6600-6171
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Opel SA, Schlichtig M, Schulte C. Developing Teaching Materials on Artificial
Intelligence by Using a Simulation Game (Work in Progress). In: WiPSCE.
ACM; 2019:11:1-11:2.'
apa: Opel, S. A., Schlichtig, M., & Schulte, C. (2019). Developing Teaching
Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress).
WiPSCE, 11:1-11:2.
bibtex: '@inproceedings{Opel_Schlichtig_Schulte_2019, title={Developing Teaching
Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress)},
booktitle={WiPSCE}, publisher={ACM}, author={Opel, Simone Anna and Schlichtig,
Michael and Schulte, Carsten}, year={2019}, pages={11:1-11:2} }'
chicago: Opel, Simone Anna, Michael Schlichtig, and Carsten Schulte. “Developing
Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work
in Progress).” In WiPSCE, 11:1-11:2. ACM, 2019.
ieee: S. A. Opel, M. Schlichtig, and C. Schulte, “Developing Teaching Materials
on Artificial Intelligence by Using a Simulation Game (Work in Progress),” in
WiPSCE, 2019, p. 11:1-11:2.
mla: Opel, Simone Anna, et al. “Developing Teaching Materials on Artificial Intelligence
by Using a Simulation Game (Work in Progress).” WiPSCE, ACM, 2019, p. 11:1-11:2.
short: 'S.A. Opel, M. Schlichtig, C. Schulte, in: WiPSCE, ACM, 2019, p. 11:1-11:2.'
date_created: 2020-01-28T10:28:37Z
date_updated: 2022-07-26T11:41:51Z
department:
- _id: '67'
language:
- iso: eng
page: 11:1-11:2
publication: WiPSCE
publisher: ACM
quality_controlled: '1'
status: public
title: Developing Teaching Materials on Artificial Intelligence by Using a Simulation
Game (Work in Progress)
type: conference
user_id: '32312'
year: '2019'
...
---
_id: '3265'
abstract:
- lang: eng
text: "We present CLARC (Cryptographic Library for Anonymous Reputation and Credentials),
an anonymous credentials system (ACS) combined with an anonymous reputation system.\r\n\r\nUsing
CLARC, users can receive attribute-based credentials from issuers. They can efficiently
prove that their credentials satisfy complex (access) policies in a privacy-preserving
way. This implements anonymous access control with complex policies.\r\n\r\nFurthermore,
CLARC is the first ACS that is combined with an anonymous reputation system where
users can anonymously rate services. A user who gets access to a service via a
credential, also anonymously receives a review token to rate the service. If a
user creates more than a single rating, this can be detected by anyone, preventing
users from spamming ratings to sway public opinion.\r\n\r\nTo evaluate feasibility
of our construction, we present an open-source prototype implementation."
author:
- first_name: Kai
full_name: Bemmann, Kai
last_name: Bemmann
- first_name: Johannes
full_name: Blömer, Johannes
id: '23'
last_name: Blömer
- first_name: Jan
full_name: Bobolz, Jan
id: '27207'
last_name: Bobolz
- first_name: Henrik
full_name: Bröcher, Henrik
id: '41047'
last_name: Bröcher
- first_name: Denis Pascal
full_name: Diemert, Denis Pascal
id: '44071'
last_name: Diemert
- first_name: Fabian
full_name: Eidens, Fabian
id: '25078'
last_name: Eidens
- first_name: Lukas
full_name: Eilers, Lukas
last_name: Eilers
- first_name: Jan Frederik
full_name: Haltermann, Jan Frederik
id: '44413'
last_name: Haltermann
- first_name: Jakob
full_name: Juhnke, Jakob
id: '48090'
last_name: Juhnke
- first_name: Burhan
full_name: Otour, Burhan
last_name: Otour
- first_name: Laurens Alexander
full_name: Porzenheim, Laurens Alexander
id: '47434'
last_name: Porzenheim
- first_name: Simon
full_name: Pukrop, Simon
last_name: Pukrop
- first_name: Erik
full_name: Schilling, Erik
last_name: Schilling
- first_name: Michael
full_name: Schlichtig, Michael
id: '32312'
last_name: Schlichtig
- first_name: Marcel
full_name: Stienemeier, Marcel
last_name: Stienemeier
citation:
ama: 'Bemmann K, Blömer J, Bobolz J, et al. Fully-Featured Anonymous Credentials
with Reputation System. In: Proceedings of the 13th International Conference
on Availability, Reliability and Security - ARES ’18. New York, NY, USA: ACM.
doi:10.1145/3230833.3234517'
apa: 'Bemmann, K., Blömer, J., Bobolz, J., Bröcher, H., Diemert, D. P., Eidens,
F., … Stienemeier, M. (n.d.). Fully-Featured Anonymous Credentials with Reputation
System. In Proceedings of the 13th International Conference on Availability,
Reliability and Security - ARES ’18. New York, NY, USA: ACM. https://doi.org/10.1145/3230833.3234517'
bibtex: '@inproceedings{Bemmann_Blömer_Bobolz_Bröcher_Diemert_Eidens_Eilers_Haltermann_Juhnke_Otour_et
al., place={New York, NY, USA}, title={Fully-Featured Anonymous Credentials with
Reputation System}, DOI={10.1145/3230833.3234517},
booktitle={Proceedings of the 13th International Conference on Availability, Reliability
and Security - ARES ’18}, publisher={ACM}, author={Bemmann, Kai and Blömer, Johannes
and Bobolz, Jan and Bröcher, Henrik and Diemert, Denis Pascal and Eidens, Fabian
and Eilers, Lukas and Haltermann, Jan Frederik and Juhnke, Jakob and Otour, Burhan
and et al.} }'
chicago: 'Bemmann, Kai, Johannes Blömer, Jan Bobolz, Henrik Bröcher, Denis Pascal
Diemert, Fabian Eidens, Lukas Eilers, et al. “Fully-Featured Anonymous Credentials
with Reputation System.” In Proceedings of the 13th International Conference
on Availability, Reliability and Security - ARES ’18. New York, NY, USA: ACM,
n.d. https://doi.org/10.1145/3230833.3234517.'
ieee: K. Bemmann et al., “Fully-Featured Anonymous Credentials with Reputation
System,” in Proceedings of the 13th International Conference on Availability,
Reliability and Security - ARES ’18, Hamburg, Germany.
mla: Bemmann, Kai, et al. “Fully-Featured Anonymous Credentials with Reputation
System.” Proceedings of the 13th International Conference on Availability,
Reliability and Security - ARES ’18, ACM, doi:10.1145/3230833.3234517.
short: 'K. Bemmann, J. Blömer, J. Bobolz, H. Bröcher, D.P. Diemert, F. Eidens, L.
Eilers, J.F. Haltermann, J. Juhnke, B. Otour, L.A. Porzenheim, S. Pukrop, E. Schilling,
M. Schlichtig, M. Stienemeier, in: Proceedings of the 13th International Conference
on Availability, Reliability and Security - ARES ’18, ACM, New York, NY, USA,
n.d.'
conference:
end_date: 2018-08-30
location: Hamburg, Germany
name: ARES 2018 - SECPID
start_date: 2018-08-27
date_created: 2018-06-14T11:19:29Z
date_updated: 2022-01-06T06:59:07Z
ddc:
- '000'
department:
- _id: '64'
doi: 10.1145/3230833.3234517
file:
- access_level: closed
content_type: application/pdf
creator: feidens
date_created: 2018-11-08T10:17:39Z
date_updated: 2018-11-08T10:17:39Z
file_id: '5428'
file_name: react_acs.pdf
file_size: 920843
relation: main_file
file_date_updated: 2018-11-08T10:17:39Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://eprint.iacr.org/2018/835
oa: '1'
place: New York, NY, USA
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '13'
name: SFB 901 - Subproject C1
- _id: '44'
name: KogniHome - die mitdenkende Wohnung
publication: Proceedings of the 13th International Conference on Availability, Reliability
and Security - ARES '18
publication_identifier:
isbn:
- 978-1-4503-6448-5
publication_status: accepted
publisher: ACM
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/upbcuk
status: public
title: Fully-Featured Anonymous Credentials with Reputation System
type: conference
user_id: '25078'
year: '2018'
...