Die inoffizielle Version. Besprechung von Dogan Akhanlis "Medea 38/Stimmen" am Schauspielhaus Bonn

in Theater heute (2022), 63(12), 59-60

Optimizing Computational and Communication Resources for MEC Network Empowered UAV-RIS Communication

Scientific Conference (2022, December)

With the technological evolution and new applications, user equipment (UEs) has become a vital part of our lives. However, limited computational capabilities and finite battery life bottleneck the ... [more ▼]

With the technological evolution and new applications, user equipment (UEs) has become a vital part of our lives. However, limited computational capabilities and finite battery life bottleneck the performance of computationally demanding applications. A practical solution to enhance the quality of experience (QoE) is to offload the extensive computation to the mobile edge cloud (MEC). Moreover, the network’s performance can be further improved by deploying an unmanned aerial vehicle (UAV) integrated with intelligent reflective surfaces (IRS): an effective alternative to massive antenna systems to enhance the signal quality and suppress interference. In this work, the MEC network architecture is assisted by UAV-IRS to provide computational services to the UEs. To do so, a cost minimization problem in terms of computing time and hovering energy consumption is formulated. Furthermore, to achieve an efficient solution to a formulated challenging problem, the original optimization problem is decoupled into sub-problems using the block-coordinate decent method. Moreover, numerical results are compared to baseline schemes to determine the effectiveness of the proposed scheme. Simulation results demonstrate that the optimal allocation of local computational resources results in minimizing tasks’ computational time and hovering energy consumption. [less ▲]

Die hagiographischen Lektionen der hl. Helena und ihre Beziehungen zum 'Sermo in festivitate beatae Helenae' (= BHL 3783)

in Kurtrierisches Jahrbuch (2022), 62

Lightweight Permutation-Based Cryptography for the Ultra-Low-Power Internet of Things

in Bella, Giampaolo; Doinea, Mihai; Janicke, Helge (Eds.) Innovative Security Solutions for Information Technology and Communications, 15th International Conference, SECITC 2022, Virtual Event, December 8-9, 2022, Revised Selected Papers (2022, December)

The U.S. National Institute of Standards and Technology is currently undertaking a process to evaluate and eventually standardize one or more "lightweight" algorithms for authenticated encryption and ... [more ▼]

The U.S. National Institute of Standards and Technology is currently undertaking a process to evaluate and eventually standardize one or more "lightweight" algorithms for authenticated encryption and hashing that are suitable for resource-restricted devices. In addition to security, this process takes into account the efficiency of the candidate algorithms in various hardware environments (e.g. FPGAs, ASICs) and software platforms (e.g. 8, 16, 32-bit microcontrollers). However, while there exist numerous detailed benchmarking results for 8-bit AVR and 32-bit ARM/RISC-V/ESP32 microcontrollers, relatively little is known about the candidates' efficiency on 16-bit platforms. In order to fill this gap, we present a performance evaluation of the final-round candidates Ascon, Schwaemm, TinyJambu, and Xoodyak on the MSP430 series of ultra-low-power 16-bit microcontrollers from Texas Instruments. All four algorithms were explicitly designed to achieve high performance in software and have further in common that the underlying primitive is a permutation. We discuss how these permutations can be implemented efficiently in Assembly language and analyze how basic design decisions impact their execution time on the MSP430 architecture. Our results show that, overall, Schwaemm is the fastest algorithm across various lengths of data and associated data, respectively. Xoodyak has benefits when a large amount of associated data is to be authenticated, whereas TinyJambu is very efficient for the authentication of short messages. [less ▲]

Unsupervised network embedding beyond homophily

in Transactions on Machine Learning Research (2022)

Assessing the opportunity of combining state-of-the-art Android malware detectors

in Empirical Software Engineering (2022), 28

Research on Android malware detection based on Machine learning has been prolific in recent years. In this paper, we show, through a large-scale evaluation of four state-of-the-art approaches that their ... [more ▼]

Research on Android malware detection based on Machine learning has been prolific in recent years. In this paper, we show, through a large-scale evaluation of four state-of-the-art approaches that their achieved performance fluctuates when applied to different datasets. Combining existing approaches appears as an appealing method to stabilise performance. We therefore proceed to empirically investigate the effect of such combinations on the overall detection performance. In our study, we evaluated 22 methods to combine feature sets or predictions from the state-of-the-art approaches. Our results showed that no method has significantly enhanced the detection performance reported by the state-of-the-art malware detectors. Nevertheless, the performance achieved is on par with the best individual classifiers for all settings. Overall, we conduct extensive experiments on the opportunity to combine state-of-the-art detectors. Our main conclusion is that combining state-of-theart malware detectors leads to a stabilisation of the detection performance, and a research agenda on how they should be combined effectively is required to boost malware detection. All artefacts of our large-scale study (i.e., the dataset of ∼0.5 million apks and all extracted features) are made available for replicability. [less ▲]

A Survey on Machine Learning-based Misbehavior Detection Systems for 5G and Beyond Vehicular Networks

in IEEE Communications Surveys and Tutorials (2022)

Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G has enabled Ultra-Reliable ... [more ▼]

Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G has enabled Ultra-Reliable Low Latency Communications (URLLC) to CAVs. However, while communication performance has been enhanced, security and privacy issues have increased. Attacks have become more aggressive, and attackers have become more strategic. Public Key Infrastructure (PKI) proposed by standardization bodies cannot solely defend against these attacks. Thus, in complementary of that, sophisticated systems should be designed to detect such attacks and attackers. Machine Learning (ML) has recently emerged as a key enabler to secure future roads. Various V2X Misbehavior Detection Systems (MDSs) have adopted this paradigm. However, analyzing these systems is a research gap, and developing effective ML-based MDSs is still an open issue. To this end, this paper comprehensively surveys and classifies ML-based MDSs as well as discusses and analyses them from security and ML perspectives. It also provides some learned lessons and recommendations for guiding the development, validation, and deployment of ML-based MDSs. Finally, this paper highlighted open research and standardization issues with some future directions. [less ▲]

Geistliche Macht der Musik oder weltliche Macht der geistlichen Musiker? Cäcilianismus in Luxemburg

in Ehret, Jean (Ed.) Die geistige und geistliche Macht der Musik (2022)

Im Beitrag geht es einerseits um briefliche Korrespondenzen im Zusammenhang mit dem Cäcilianismus in Luxemburg, insbesondere um den Briefaustausch zwischen zwei herausgehobenen Persönlichkeiten, nämlich ... [more ▼]

Im Beitrag geht es einerseits um briefliche Korrespondenzen im Zusammenhang mit dem Cäcilianismus in Luxemburg, insbesondere um den Briefaustausch zwischen zwei herausgehobenen Persönlichkeiten, nämlich Franz Xaver Witt, dem im süddeutschen Raum wirkenden Hauptvertreter der kirchenmusikalischen Reformbewegung, und seinem in Luxemburg wirkenden Mitstreiter im Geiste, Heinrich Oberhoffer. Ande-rerseits werden Formen von Machtausübung thematisiert, die vom Cäcili-anismus ausgehen und auf ihn einwirken. [less ▲]

Lost in legal data visualization? A legal scholar’s view on the ECB dedicated section in EUR-Lex

in European Central Bank (Ed.) ESCB Legal Conference 2022 (2022, December)

Legal data visualisation and legal knowledge visualisation are increasingly attracting the attention of the legal community, given their alleged positive impact on legal teaching, access to and ... [more ▼]

Legal data visualisation and legal knowledge visualisation are increasingly attracting the attention of the legal community, given their alleged positive impact on legal teaching, access to and understanding of the law by citizens and/or litigants, or the production of new legal products or services (e.g. Stanford Legal Design Lab). On the other hand, very few legal research studies are based on and integrate into their analysis the visualization of legal data, legal information, or of legal knowledge. Even fewer studies examine the impact of these tools on legal research methodology. Legal scholars are no less skilled and familiar with the use of IT tools, from preparing their lectures (e.g. ppt presentations) to consulting online databases or using expert systems to review articles. Is the lack of interest in legal data visualisation tools an expression of any technological difficulty? To use Friedrich Lachmayer's metaphor, "Legal informatics, which includes the visualisation of legal data, is about building a bridge between law and informatics. But in the design of visualisation tools, informatics scholars expect too much from legal scholars, then the latter give up and the bridge collapses. Or does the problem stem from a specific feature of the law, namely the ontological formalism of legal norms, which would prevent the dissemination of these tools - or render them useless? Rather than exploring this issue from a theoretical perspective, this study will examine the relevance of legal data visualization tools through the analysis of a concrete case, namely the updating that the present author is to carry out of the "Euro" section, published in the French Répertoire Dalloz. This section, originally written in 2002 by Professor Jean-Victor Louis, analyses the monetary law of the Union. In addition to updating the references to the relevant legal acts and instruments in force, this new version should also highlight changes to the content of the lex monetae and related legislation (protection of banknotes and coins, anti-counterfeiting measures, conversion and rounding procedures, etc.). As part of the updating process, the research methodology will be based on the visualisation tools made available by EUR-lex. The study will therefore examine the extent to which these tools have supported the research and facilitated the identification of new insights. Or, on the contrary, to what extent they proved to be inappropriate or insufficient and, if so, for what reasons? [less ▲]

Le règlement des conflits entre actionnaires : mesures provisoires, exclusion, retrait et modes alternatifs de résolution des conflits

in Delvaux, Marie-Amélie; Coipel, Michel (Eds.) Jurisprudence en droit des sociétés et des associations - recueil annuel (2022)