---
_id: '17667'
abstract:
- lang: eng
  text: 'Resolving distributed attacks benefits from collaboration between networks.
    We present three approaches for the same multi-domain defensive action that can
    be applied in such an alliance: 1) Counteract Everywhere, 2) Minimize Countermeasures,
    and 3) Minimize Propagation. First, we provide a formula to compute efficiency
    of a defense; then we use this formula to compute the efficiency of the approaches
    under various circumstances. Finally, we discuss how task execution order and
    timing influence defense efficiency. Our results show that the Minimize Propagation
    approach is the most efficient method when defending against the chosen attack.'
author:
- first_name: Ralph
  full_name: Koning, Ralph
  last_name: Koning
- first_name: Gleb
  full_name: Polevoy, Gleb
  id: '83983'
  last_name: Polevoy
- first_name: Lydia
  full_name: Meijer, Lydia
  last_name: Meijer
- first_name: Cees
  full_name: de Laat, Cees
  last_name: de Laat
- first_name: Paola
  full_name: Grosso, Paola
  last_name: Grosso
citation:
  ama: 'Koning R, Polevoy G, Meijer L, de Laat C, Grosso P. Approaches for Collaborative
    Security Defences in Multi Network Environments. In: <i>2019 6th IEEE International
    Conference on Cyber Security and Cloud Computing (CSCloud)/ 2019 5th IEEE International
    Conference on Edge Computing and Scalable Cloud (EdgeCom)</i>. 2019 6th IEEE International
    Conference on Cyber Security and Cloud Computing (CSCloud)/ 2019 5th IEEE International
    Conference on Edge Computing and Scalable Cloud (EdgeCom). ; 2019:113-123. doi:<a
    href="https://doi.org/10.1109/CSCloud/EdgeCom.2019.000-9">10.1109/CSCloud/EdgeCom.2019.000-9</a>'
  apa: Koning, R., Polevoy, G., Meijer, L., de Laat, C., &#38; Grosso, P. (2019).
    Approaches for Collaborative Security Defences in Multi Network Environments.
    In <i>2019 6th IEEE International Conference on Cyber Security and Cloud Computing
    (CSCloud)/ 2019 5th IEEE International Conference on Edge Computing and Scalable
    Cloud (EdgeCom)</i> (pp. 113–123). <a href="https://doi.org/10.1109/CSCloud/EdgeCom.2019.000-9">https://doi.org/10.1109/CSCloud/EdgeCom.2019.000-9</a>
  bibtex: '@inproceedings{Koning_Polevoy_Meijer_de Laat_Grosso_2019, series={2019
    6th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/
    2019 5th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom)},
    title={Approaches for Collaborative Security Defences in Multi Network Environments},
    DOI={<a href="https://doi.org/10.1109/CSCloud/EdgeCom.2019.000-9">10.1109/CSCloud/EdgeCom.2019.000-9</a>},
    booktitle={2019 6th IEEE International Conference on Cyber Security and Cloud
    Computing (CSCloud)/ 2019 5th IEEE International Conference on Edge Computing
    and Scalable Cloud (EdgeCom)}, author={Koning, Ralph and Polevoy, Gleb and Meijer,
    Lydia and de Laat, Cees and Grosso, Paola}, year={2019}, pages={113–123}, collection={2019
    6th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/
    2019 5th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom)}
    }'
  chicago: Koning, Ralph, Gleb Polevoy, Lydia Meijer, Cees de Laat, and Paola Grosso.
    “Approaches for Collaborative Security Defences in Multi Network Environments.”
    In <i>2019 6th IEEE International Conference on Cyber Security and Cloud Computing
    (CSCloud)/ 2019 5th IEEE International Conference on Edge Computing and Scalable
    Cloud (EdgeCom)</i>, 113–23. 2019 6th IEEE International Conference on Cyber Security
    and Cloud Computing (CSCloud)/ 2019 5th IEEE International Conference on Edge
    Computing and Scalable Cloud (EdgeCom), 2019. <a href="https://doi.org/10.1109/CSCloud/EdgeCom.2019.000-9">https://doi.org/10.1109/CSCloud/EdgeCom.2019.000-9</a>.
  ieee: R. Koning, G. Polevoy, L. Meijer, C. de Laat, and P. Grosso, “Approaches for
    Collaborative Security Defences in Multi Network Environments,” in <i>2019 6th
    IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/
    2019 5th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom)</i>,
    2019, pp. 113–123.
  mla: Koning, Ralph, et al. “Approaches for Collaborative Security Defences in Multi
    Network Environments.” <i>2019 6th IEEE International Conference on Cyber Security
    and Cloud Computing (CSCloud)/ 2019 5th IEEE International Conference on Edge
    Computing and Scalable Cloud (EdgeCom)</i>, 2019, pp. 113–23, doi:<a href="https://doi.org/10.1109/CSCloud/EdgeCom.2019.000-9">10.1109/CSCloud/EdgeCom.2019.000-9</a>.
  short: 'R. Koning, G. Polevoy, L. Meijer, C. de Laat, P. Grosso, in: 2019 6th IEEE
    International Conference on Cyber Security and Cloud Computing (CSCloud)/ 2019
    5th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom),
    2019, pp. 113–123.'
conference:
  name: 2019 6th IEEE International Conference on Cyber Security and Cloud Computing
    (CSCloud)/ 2019 5th IEEE International Conference on Edge Computing and Scalable
    Cloud (EdgeCom)
date_created: 2020-08-06T15:23:23Z
date_updated: 2022-01-06T06:53:16Z
department:
- _id: '63'
- _id: '541'
doi: 10.1109/CSCloud/EdgeCom.2019.000-9
extern: '1'
keyword:
- computer network security
- multinetwork environments
- multidomain defensive action
- task execution order
- timing influence defense efficiency
- distributed attacks
- collaborative security defence approach
- minimize propagation approach
- minimize countermeasure approach
- counteract everywhere approach
- Conferences
- Cloud computing
- Computer crime
- Edge computing
- Security
- Defense Approaches
- Multi-Domain Defense
- Collaborative Defense
- Defense Algorithms
- Computer Networks
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/abstract/document/8854057/authors#authors
page: 113-123
publication: 2019 6th IEEE International Conference on Cyber Security and Cloud Computing
  (CSCloud)/ 2019 5th IEEE International Conference on Edge Computing and Scalable
  Cloud (EdgeCom)
publication_identifier:
  issn:
  - 'null'
quality_controlled: '1'
series_title: 2019 6th IEEE International Conference on Cyber Security and Cloud Computing
  (CSCloud)/ 2019 5th IEEE International Conference on Edge Computing and Scalable
  Cloud (EdgeCom)
status: public
title: Approaches for Collaborative Security Defences in Multi Network Environments
type: conference
user_id: '83983'
year: '2019'
...
---
_id: '15952'
abstract:
- lang: eng
  text: Arbitrary sampling rate conversion has already received considerable attention
    in the past, but still lacks an equivalent representation of the effective time-dilation
    process in the block frequency domain. Good sampling rate converters in the time
    domain have been known, for instance, in terms of time-varying 'Sinc' or fixed
    'Farrow' polynomial filters. The former can deliver nearly exact conversion at
    high complexity, while the latter has pronounced computational efficiency with
    limited accuracy. Only recently, it was shown that a composite 'polyphase Farrow'
    form with high resampling precision can be implemented with quasi-fixed filters
    that operate at the input sampling rate. We therefore propose to capitalize from
    that fixed-filter architecture in that we translate the polyphase-Farrow filters
    into an equivalent FFT-based overlap-save form. Experimental evaluation and comparison
    with other state-of-the art frequency-domain approaches then proves currently
    the best price-performance ratio of the proposed algorithm. It is thus an ideal
    candidate for the new framework of acoustic sensor networks that critically rests
    upon fast and accurate alignment of autonomous sampling processes.
author:
- first_name: Joerg
  full_name: Schmalenstroeer, Joerg
  id: '460'
  last_name: Schmalenstroeer
- first_name: Aleksej
  full_name: Chinaev, Aleksej
  last_name: Chinaev
- first_name: Gerald
  full_name: Enzner, Gerald
  last_name: Enzner
citation:
  ama: 'Schmalenstroeer J, Chinaev A, Enzner G. Fast and Accurate Audio Resampling
    for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization.
    In: <i>Speech Communication; 13th ITG-Symposium</i>. ; 2018:1-5.'
  apa: Schmalenstroeer, J., Chinaev, A., &#38; Enzner, G. (2018). Fast and Accurate
    Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with
    FFT Realization. <i>Speech Communication; 13th ITG-Symposium</i>, 1–5.
  bibtex: '@inproceedings{Schmalenstroeer_Chinaev_Enzner_2018, title={Fast and Accurate
    Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with
    FFT Realization}, booktitle={Speech Communication; 13th ITG-Symposium}, author={Schmalenstroeer,
    Joerg and Chinaev, Aleksej and Enzner, Gerald}, year={2018}, pages={1–5} }'
  chicago: Schmalenstroeer, Joerg, Aleksej Chinaev, and Gerald Enzner. “Fast and Accurate
    Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow Filters with
    FFT Realization.” In <i>Speech Communication; 13th ITG-Symposium</i>, 1–5, 2018.
  ieee: J. Schmalenstroeer, A. Chinaev, and G. Enzner, “Fast and Accurate Audio Resampling
    for Acoustic Sensor Networks by Polyphase-Farrow Filters with FFT Realization,”
    in <i>Speech Communication; 13th ITG-Symposium</i>, 2018, pp. 1–5.
  mla: Schmalenstroeer, Joerg, et al. “Fast and Accurate Audio Resampling for Acoustic
    Sensor Networks by Polyphase-Farrow Filters with FFT Realization.” <i>Speech Communication;
    13th ITG-Symposium</i>, 2018, pp. 1–5.
  short: 'J. Schmalenstroeer, A. Chinaev, G. Enzner, in: Speech Communication; 13th
    ITG-Symposium, 2018, pp. 1–5.'
date_created: 2020-02-21T08:53:14Z
date_updated: 2024-11-14T09:42:35Z
department:
- _id: '54'
language:
- iso: eng
page: 1-5
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Speech Communication; 13th ITG-Symposium
publication_identifier:
  issn:
  - 'null'
quality_controlled: '1'
status: public
title: Fast and Accurate Audio Resampling for Acoustic Sensor Networks by Polyphase-Farrow
  Filters with FFT Realization
type: conference
user_id: '460'
year: '2018'
...
