4th Workshop on Cyber Physical Systems and IoT Dependability and Resilience (CyberIoT 2021)

Background

Internet of Things (IoT) and cyber physical systems (CPS) are close modern concepts and multi-technologies which become more and more challengeable for critical domains such as nuclear power stations and smart energy grids, automotive systems and intellectual transport, drone fleets and health systems, smart buildings and cities, etc. Criticality of such applications is explained by high value of the failures caused by hardware and software faults and cyber attacks on vulnerabilities of embedded and mobile systems and communication. There are not established techniques for assessment and assurance of dependability (reliability, safety and security) and resilience of CPS and industrial systems based on IoT and technologies of distributed (cloud and edge) computing. These attributes and performance, power consumption, usability and others are contradictory characteristics. It is challenge for scientists and engineers. We would like to invite researchers, developers, system administrators, experts of different domains to discuss development and implementation techniques, methods and technologies for assessment and improving of CPS and IoT-based systems dependability, resilience and other characteristics.

4^th Workshop CyberIoT continues discussion of topics on CPS and IoT dependability and resilience at the IEEE conferences: DESSERT 2016 (Kyiv, Ukraine), IDAACS 2017 (Bucharest, Romania), DESSERT 2019 (Leeds, UK), IDAACS 2019 (Metz, France). This event is a part of activities related to Futurology Congress dedicated to the centenary of the birth of Stanislaw Lem. This congress starts in 2021 and will become a platform for discussion of global challenges and solutions suggested by scientists, engineers and business. 

Main topics:

• Methodology of dependable and resilient computing for CPS and industrial IoT systems
• Big safety and global trusted dependability in time of Covid-19 pandemic
• Cyber security and cyber safety analysis and assurance of IoT for industry 4.0
• Cyber security of IoT for smart building and city
• Big data technologies for CPS and IoT dependability
• IoT for mobile health systems and health data processing
• FPGA-based dependable systems and technologies for IoT
• Dependability and security of cloud and edge computing
• Internet of Drones for ecology and accident monitoring
• Software reliability and rejuvenation of CPS and IoT
• Quantum and post-quantum cryptography for CPS and IoT
• Greenware of CPS and IoT
• Block chain technology for IoT dependability and resilience
• Usable security and secure/safe usability of human machine interaction and systems
• Education and training issues of CPS and IoT
• Industrial track: Big safety and global trusted dependability: CPS and IoT context  

Co-Chairs

• Prof Vyacheslav Kharchenko, National Aerospace University KhAI, Ukraine
• Prof Andrzej Rucinski, University of New Hampshire, eCv Collaboratory, USA
• Prof  Anatoliy Gorbenko, Leeds Beckett University, UK
• Dr Thaddeus Paul Kochanski, Sensors Signals Systems Lexington, MA, USA

WS PC Committee (TBC)

• Dr Nikos Bardis, University of Athens, Greece
• Dr Ah Lian Kor, Leeds Beckett University, United Kingdom
• Dr Herman Fesenko, National Aerospace University KhAI, Ukraine
• Dr Mario Fusani, Institute of Information Science and Technologies, CNR, Italy
• Dr Olexandr Gordieiev, University of Banking, Ukraine
• Prof Yuriy Kondratenko, Petro Mohyla Black Sea National University, Ukraine
• Dr Miroslav Kvassay, Žilina University, Slovakia
• Prof Dmitry Maevsky, Odessa National Polytechnic University, Ukraine
• Dr Yurij Ponochovnyj, Poltava National Technical National University, Ukraine
• Prof Vladimir Sklyar, National Aerospace University KhAI, Ukraine
• Prof Sergey Tyurin, Perm Research State Technical University, Russian Federation
• Prof Jüri Vain, Tallinn University of Technology, Estonia
• Prof Elena Zaitseva, Žilina University, Slovakia
• Prof Grygoriy Zholtkevych, Karazin Khariv National University, Ukraine