@inproceedings{30212,
  author       = {{Vorbohle, Christian and Kundisch, Dennis}},
  title        = {{{Key Properties of Sustainable Business Ecosystem Relationships}}},
  year         = {{2022}},
}

@inproceedings{32811,
  abstract     = {{The decentralized nature of multi-agent systems requires continuous data exchange to achieve global objectives. In such scenarios, Age of Information (AoI) has become an important metric of the freshness of exchanged data due to the error-proneness and delays of communication systems. Communication systems usually possess dependencies: the process describing the success or failure of communication is highly correlated when these attempts are ``close'' in some domain (e.g. in time, frequency, space or code as in wireless communication) and is, in general, non-stationary. To study AoI in such scenarios, we consider an abstract event-based AoI process $\Delta(n)$, expressing time since the last update: If, at time $n$, a monitoring node receives a status update from a source node (event $A(n-1)$ occurs), then $\Delta(n)$ is reset to one; otherwise, $\Delta(n)$ grows linearly in time. This AoI process can thus be viewed as a special random walk with resets. The event process $A(n)$ may be nonstationary and we merely assume that its temporal dependencies decay sufficiently, described by $\alpha$-mixing. We calculate moment bounds for the resulting AoI process as a function of the mixing rate of $A(n)$. Furthermore, we prove that the AoI process $\Delta(n)$ is itself $\alpha$-mixing from which we conclude a strong law of large numbers for $\Delta(n)$. These results are new, since AoI processes have not been studied so far in this general strongly mixing setting. This opens up future work on renewal processes with non-independent interarrival times.}},
  author       = {{Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}},
  booktitle    = {{Proceedings of the 58th Allerton Conference on Communication, Control, and Computing}},
  title        = {{{Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law}}},
  year         = {{2022}},
}

@inproceedings{30793,
  author       = {{Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}},
  booktitle    = {{Proceedings of the 14th International Conference on Agents and Artificial Intelligence}},
  publisher    = {{SCITEPRESS - Science and Technology Publications}},
  title        = {{{Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication}}},
  doi          = {{10.5220/0010845400003116}},
  year         = {{2022}},
}

@unpublished{30790,
  abstract     = {{Iterative distributed optimization algorithms involve multiple agents that
communicate with each other, over time, in order to minimize/maximize a global
objective. In the presence of unreliable communication networks, the
Age-of-Information (AoI), which measures the freshness of data received, may be
large and hence hinder algorithmic convergence. In this paper, we study the
convergence of general distributed gradient-based optimization algorithms in
the presence of communication that neither happens periodically nor at
stochastically independent points in time. We show that convergence is
guaranteed provided the random variables associated with the AoI processes are
stochastically dominated by a random variable with finite first moment. This
improves on previous requirements of boundedness of more than the first moment.
We then introduce stochastically strongly connected (SSC) networks, a new
stochastic form of strong connectedness for time-varying networks. We show: If
for any $p \ge0$ the processes that describe the success of communication
between agents in a SSC network are $\alpha$-mixing with $n^{p-1}\alpha(n)$
summable, then the associated AoI processes are stochastically dominated by a
random variable with finite $p$-th moment. In combination with our first
contribution, this implies that distributed stochastic gradient descend
converges in the presence of AoI, if $\alpha(n)$ is summable.}},
  author       = {{Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}},
  booktitle    = {{arXiv:2201.11343}},
  title        = {{{Distributed gradient-based optimization in the presence of dependent  aperiodic communication}}},
  year         = {{2022}},
}

@unpublished{30791,
  abstract     = {{We present sufficient conditions that ensure convergence of the multi-agent
Deep Deterministic Policy Gradient (DDPG) algorithm. It is an example of one of
the most popular paradigms of Deep Reinforcement Learning (DeepRL) for tackling
continuous action spaces: the actor-critic paradigm. In the setting considered
herein, each agent observes a part of the global state space in order to take
local actions, for which it receives local rewards. For every agent, DDPG
trains a local actor (policy) and a local critic (Q-function). The analysis
shows that multi-agent DDPG using neural networks to approximate the local
policies and critics converge to limits with the following properties: The
critic limits minimize the average squared Bellman loss; the actor limits
parameterize a policy that maximizes the local critic's approximation of
$Q_i^*$, where $i$ is the agent index. The averaging is with respect to a
probability distribution over the global state-action space. It captures the
asymptotics of all local training processes. Finally, we extend the analysis to
a fully decentralized setting where agents communicate over a wireless network
prone to delays and losses; a typical scenario in, e.g., robotic applications.}},
  author       = {{Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}},
  booktitle    = {{arXiv:2201.00570}},
  title        = {{{Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms}}},
  year         = {{2022}},
}

@misc{32398,
  author       = {{Siek, Hanna}},
  title        = {{{Bringing Structure to Structure-Preserving Signatures: Overview, Implementation and Comparison of Selected SPS Schemes}}},
  year         = {{2022}},
}

@misc{31485,
  author       = {{Kramer, Paul}},
  title        = {{{On Transforming Lattice-Based Cryptography to the Ring Setting}}},
  year         = {{2022}},
}

@article{32854,
  author       = {{Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}},
  journal      = {{IFAC-PapersOnLine}},
  number       = {{13}},
  pages        = {{133–138}},
  publisher    = {{Elsevier}},
  title        = {{{Practical Network Conditions for the Convergence of Distributed Optimization}}},
  volume       = {{55}},
  year         = {{2022}},
}

@inproceedings{33253,
  author       = {{Hansmeier, Tim and Brede, Mathis and Platzner, Marco}},
  booktitle    = {{GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion}},
  location     = {{Boston, MA, USA}},
  pages        = {{2071--2079}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{{XCS on Embedded Systems: An Analysis of Execution Profiles and Accelerated Classifier Deletion}}},
  doi          = {{10.1145/3520304.3533977}},
  year         = {{2022}},
}

@inproceedings{33491,
  author       = {{Maack, Marten and Pukrop, Simon and Rasmussen, Anna Rodriguez}},
  booktitle    = {{30th Annual European Symposium on Algorithms, ESA 2022, September 5-9, 2022, Berlin/Potsdam, Germany}},
  editor       = {{Chechik, Shiri and Navarro, Gonzalo and Rotenberg, Eva and Herman, Grzegorz}},
  pages        = {{77:1–77:13}},
  publisher    = {{Schloss Dagstuhl - Leibniz-Zentrum für Informatik}},
  title        = {{{(In-)Approximability Results for Interval, Resource Restricted, and Low Rank Scheduling}}},
  doi          = {{10.4230/LIPIcs.ESA.2022.77}},
  volume       = {{244}},
  year         = {{2022}},
}

@phdthesis{29769,
  abstract     = {{Wettstreit zwischen der Entwicklung neuer Hardwaretrojaner und entsprechender Gegenmaßnahmen beschreiten Widersacher immer raffiniertere Wege um Schaltungsentwürfe zu infizieren und dabei selbst fortgeschrittene Test- und Verifikationsmethoden zu überlisten. Abgesehen von den konventionellen Methoden um einen Trojaner in eine Schaltung für ein Field-programmable Gate Array (FPGA) einzuschleusen, können auch die Entwurfswerkzeuge heimlich kompromittiert werden um einen Angreifer dabei zu unterstützen einen erfolgreichen Angriff durchzuführen, der zum Beispiel Fehlfunktionen oder ungewollte Informationsabflüsse bewirken kann. Diese Dissertation beschäftigt sich hauptsächlich mit den beiden Blickwinkeln auf Hardwaretrojaner in rekonfigurierbaren Systemen, einerseits der Perspektive des Verteidigers mit einer Methode zur Erkennung von Trojanern auf der Bitstromebene, und andererseits derjenigen des Angreifers mit einer neuartigen Angriffsmethode für FPGA Trojaner. Für die Verteidigung gegen den Trojaner ``Heimtückische LUT'' stellen wir die allererste erfolgreiche Gegenmaßnahme vor, die durch Verifikation mittels Proof-carrying Hardware (PCH) auf der Bitstromebene direkt vor der Konfiguration der Hardware angewendet werden kann, und präsentieren ein vollständiges Schema für den Entwurf und die Verifikation von Schaltungen für iCE40 FPGAs. Für die Gegenseite führen wir einen neuen Angriff ein, welcher bösartiges Routing im eingefügten Trojaner ausnutzt um selbst im fertigen Bitstrom in einem inaktiven Zustand zu verbleiben: Hierdurch kann dieser neuartige Angriff zur Zeit weder von herkömmlichen Test- und Verifikationsmethoden, noch von unserer vorher vorgestellten Verifikation auf der Bitstromebene entdeckt werden.}},
  author       = {{Ahmed, Qazi Arbab}},
  keywords     = {{FPGA Security, Hardware Trojans, Bitstream-level Trojans, Bitstream Verification}},
  publisher    = {{ Paderborn University, Paderborn, Germany}},
  title        = {{{Hardware Trojans in Reconfigurable Computing}}},
  doi          = {{10.17619/UNIPB/1-1271}},
  year         = {{2022}},
}

@article{33250,
  author       = {{Szopinski, Daniel and Massa, Lorenzo and John, Thomas and Kundisch, Dennis and Tucci, Christopher}},
  journal      = {{Communications of the Association for Information Systems}},
  pages        = {{774--841}},
  title        = {{{Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research}}},
  volume       = {{51}},
  year         = {{2022}},
}

@inproceedings{29220,
  abstract     = {{Modern services often comprise several components, such as chained virtual network functions, microservices, or
machine learning functions. Providing such services requires to decide how often to instantiate each component, where to place these instances in the network, how to chain them and route traffic through them. 
To overcome limitations of conventional, hardwired heuristics, deep reinforcement learning (DRL) approaches for self-learning network and service management have emerged recently. These model-free DRL approaches are more flexible but typically learn tabula rasa, i.e., disregard existing understanding of networks, services, and their coordination. 

Instead, we propose FutureCoord, a novel model-based AI approach that leverages existing understanding of networks and services for more efficient and effective coordination without time-intensive training. FutureCoord combines Monte Carlo Tree Search with a stochastic traffic model. This allows FutureCoord to estimate the impact of future incoming traffic and effectively optimize long-term effects, taking fluctuating demand and Quality of Service (QoS) requirements into account. Our extensive evaluation based on real-world network topologies, services, and traffic traces indicates that FutureCoord clearly outperforms state-of-the-art model-free and model-based approaches with up to 51% higher flow success ratios.}},
  author       = {{Werner, Stefan and Schneider, Stefan Balthasar and Karl, Holger}},
  booktitle    = {{IEEE/IFIP Network Operations and Management Symposium (NOMS)}},
  keywords     = {{network management, service management, AI, Monte Carlo Tree Search, model-based, QoS}},
  location     = {{Budapest}},
  publisher    = {{IEEE}},
  title        = {{{Use What You Know: Network and Service Coordination Beyond Certainty}}},
  year         = {{2022}},
}

@phdthesis{29763,
  abstract     = {{Modern-day communication has become more and more digital. While this comes with many advantages such as a more efficient economy, it has also created more and more opportunities for various adversaries to manipulate communication or eavesdrop on it. The Snowden revelations in 2013 further highlighted the seriousness of these threats. To protect the communication of people, companies, and states from such threats, we require cryptography with strong security guarantees.
Different applications may require different security properties from cryptographic schemes. For most applications, however, so-called adaptive security is considered a reasonable minimal requirement of security. Cryptographic schemes with adaptive security remain secure in the presence of an adversary that can corrupt communication partners to respond to messages of the adversaries choice, while the adversary may choose the messages based on previously observed interactions.
While cryptography is associated the most with encryption, this is only one of many primitives that are essential for the security of digital interactions. This thesis presents novel identity-based encryption (IBE) schemes and verifiable random functions (VRFs) that achieve adaptive security as outlined above. Moreover, the cryptographic schemes presented in this thesis are proven secure in the standard model. That is without making use of idealized models like the random oracle model.}},
  author       = {{Niehues, David}},
  keywords     = {{public-key cryptography, lattices, pairings, verifiable random functions, identity-based encryption}},
  title        = {{{More Efficient Techniques for Adaptively-Secure Cryptography}}},
  doi          = {{10.25926/rdtq-jw45}},
  year         = {{2022}},
}

@inproceedings{33240,
  author       = {{Götte, Thorsten and Scheideler, Christian}},
  booktitle    = {{SPAA ’22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11 - 14, 2022}},
  editor       = {{Agrawal, Kunal and Lee, I-Ting Angelina}},
  pages        = {{99–101}},
  publisher    = {{ACM}},
  title        = {{{Brief Announcement: The (Limited) Power of Multiple Identities: Asynchronous Byzantine Reliable Broadcast with Improved Resilience through Collusion}}},
  doi          = {{10.1145/3490148.3538556}},
  year         = {{2022}},
}

@inbook{29872,
  author       = {{Maack, Marten and Meyer auf der Heide, Friedhelm and Pukrop, Simon}},
  booktitle    = {{Approximation and Online Algorithms}},
  isbn         = {{9783030927011}},
  issn         = {{0302-9743}},
  publisher    = {{Springer International Publishing}},
  title        = {{{Server Cloud Scheduling}}},
  doi          = {{10.1007/978-3-030-92702-8_10}},
  year         = {{2022}},
}

@article{23566,
  author       = {{Kundisch, Dennis and Muntermann, J. and Oberländer, A. M. and Rau, D. and Röglinger, M. and Schoormann, T. and Szopinski, Daniel}},
  journal      = {{Business & Information Systems Engineering}},
  number       = {{4}},
  pages        = {{421--439}},
  title        = {{{An update for taxonomy designers: Methodological guidance from information systems research}}},
  volume       = {{64}},
  year         = {{2022}},
}

@inproceedings{30987,
  author       = {{Kostitsyna, Irina and Scheideler, Christian and Warner, Daniel}},
  booktitle    = {{1st Symposium on Algorithmic Foundations of Dynamic Networks (SAND 2022)}},
  editor       = {{Aspnes, James and Michail, Othon}},
  isbn         = {{978-3-95977-224-2}},
  issn         = {{1868-8969}},
  pages        = {{23:1–23:3}},
  publisher    = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}},
  title        = {{{Brief Announcement: Fault-Tolerant Shape Formation in the Amoebot Model}}},
  doi          = {{10.4230/LIPIcs.SAND.2022.23}},
  volume       = {{221}},
  year         = {{2022}},
}

@phdthesis{35189,
  abstract     = {{The development of new business models is essential for startups to become successful, as well as for established companies to explore new business opportunities. However, developing such business models is a challenging activity. On the one hand, various tasks of business model development methods (BMDMs) need to be performed. On the other hand, different decisions for the business models (BMs) need to be made. Both have to fit the changeable situation of the organization in which the business model is developed to reduce the risk of developing ineffective business models with low market penetration. Therefore, the BMDMs and the BMs must be developed situation-specific. In this thesis, we conduct a design science research study to design a novel approach for the situation-specific development of business models with three stages. In the first stage, we create a method repository with method fragments for the BMDMs and a canvas model repository with modeling fragments for the BMs. Both repositories are filled by the knowledge of domain experts. Out of these repositories, in the second stage, situation-specific BMDMs for developing situation-specific BMs are composed by a method engineer based on the changeable situation of the organization and enacted by a business developer. The business developer collaborates with other stakeholders during the enaction to create artifacts. Moreover, in the third stage, he receives IT support, provided by development support engineers, in different development steps.}},
  author       = {{Gottschalk, Sebastian}},
  publisher    = {{Paderborn University}},
  title        = {{{Situation-specific Development of Business Models within Software Ecosystems}}},
  doi          = {{10.17619/UNIPB/1-1644}},
  year         = {{2022}},
}

@misc{34962,
  author       = {{Anonymous, A}},
  title        = {{{Evaluating database systems relying on secure multiparty computation}}},
  year         = {{2022}},
}

