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Session Submission Type: Pre-arranged Panel
Wireless network technologies are quickly evolving. The 6G standard that is expected to be implemented from 2030 will further facilitate numerous applications including those related to the Internet of Things (IoT). In this context, Artificial Intelligence (AI) tools are likely to play a major role. However, wireless technologies also create new risks for fundamental rights, especially for privacy with respect to the big quantities of data that AI-based applications require. They will also create new cybercrime risks that should be taken into account at an early stage of technology development in order to protect users.
The contributions to this panel are related to the European Union COST Action BEiNG-WISE (Behavioral Next Generation in Wireless Networks for Cyber Security CA22104 - 2023-2027) that looks at cybersecurity in wireless networks from an interdisciplinary perspective, including expertise from informatics, sociology, psychology, criminology, political science, law and related disciplines.
Hartmut Aden, Berlin School of Economics and Law, Berlin Intitute for Safety and Security Research (FÖPS Berlin)
Marcel Moritz, Lille University (France), Ceraps UMR 8026
Cyber-Physical Threats in Smart Cities: Security Risks and Criminal Exploitation of IoT and Wireless Sensor Networks - Ibrahim Ozturk, Osmaniye Korkut Ata University
The use of Facial Recognition for Law Enforcement Purposes - Marcel Moritz, Lille University (France), Ceraps UMR 8026
Cybersecurity risks related to the use of deepfakes in wireless networks - Dalibor Dolezal, University of Zagreb, Faculty of Education and Rehabilitation Sciences, Department of Criminology; Hartmut Aden, Berlin School of Economics and Law, Berlin Intitute for Safety and Security Research (FÖPS Berlin)
The future of attack and defense role models: Early steps towards a Human-AI Interaction taxonomy to mitigate human vulnerabilities towards AI supported deception - Martin Griesbacher, Research Group for Industrial Software (INSO); Philipp Harms, ETH Zürich, Department of Mathematics; Matej Kosco, Research Group for Industrial Software (INSO), Vienna University of Technology; Thomas Stipsits, Research Group for Industrial Software (INSO), Vienna University of Technology; Thomas Grechenig, Research Group for Industrial Software (INSO), Vienna University of Technology
Enhancing Digital Forensics Techniques 4 Wireless Environments - Denis Trcek, FRI University of Ljubljana