SSS06 - (Gen)AI driven Safe, Secure, and Sustainable (I)-IoT/CPS
Special Session Organized by
Muhammad Taimoor Khan, University of Greenwich, UK, Dimitrios Serpanos, ISI Athena, ECE, University of Patras, Greece, Howard Shrobe, MIT CSAIL, USA, Kunio Uchiyama, AI Chip Design Centre, Japan.Download Call for Papers
Click here to download the special session cfp.Focus
Computing constitutes a fundamental component of the emerging initiatives like Society 5.0, Industry 5.0, Healthcare 5.0, and Agriculture 5.0 (aka X 5.0), which combine cyber and physical spaces (i.e., processes) and requires control and monitoring techniques for their operation and management. In X 5.0, people, things, devices, and systems are connected in cyberspace and operate exploiting automated methods, including machine learning (ML) and artificial intelligence (AI). Such operation and management bring new value to industry and society in ways not previously possible. Typical cyber physical systems (CPS) are based on (I)IoT (Industrial - Internet of Things) and (I)CPS (Industrial - Cyber Physical Systems) and have applications in all critical infrastructure domains with strict real-time requirements, such as healthcare, electric grid, transportation, to name a few. Intentional or accidental errors/failures/attacks to these systems have highly severe consequences. Therefore, novel design methodologies are required to ensure that design of real-time cyber physical systems and applications in the emerging Society 5.0 are free of vulnerabilities, threats and attacks. Since the physical part of CPS involves several processes, typically, it is challenging to ensure that the design is free from all known vulnerabilities. It is necessary to develop run-time monitoring and analysis techniques that can help to detect run-time incidents by observing the processes and their data. Furthermore, adequate modelling of CPS physical processes and corresponding cyber and physical attacks is fundamental to systematically model, analyse and verify real-time security of CPS. Importantly, since AI and machine learning have demonstrated their success in many application areas including cyber security, this special session focuses on investigating AI, machine learning and formal methods-based techniques to develop safe, secure, privacy and law-aware real-time cyber physical systems, digital twins and smart cities at all levels, from hardware components to applications.Topics under this session include:
- Safety, security, privacy and law in cyber-physical systems (CPS), networks and communication
- Prevention, detection and mitigation techniques for real-time protection against cyber, and non-cyber threats
- Hardware design for safe, secure, privacy and law-aware RT-CPS
- Vulnerability analysis of RT-CPS applications
- Attack modeling and performance analysis of RT-CPS