Over the past decade, many disruptive and potentially transformative technologies have been developed as part of the fourth industrial revolution, commonly referred to as industry 4.0. The top of the list of these technologies include Cyber Physical Systems (CPS), Internet of Things (IoT), Cyber Security and Machine Learning. These disruptive technologies have the potential to reshuffle the global industry structure, create new markets, improve labor productivity, drive growth in advanced economies, create new lines of products, challenge exiting industries, replace incumbent and older industries, and transform how people live, communicate and work. In this context, these technologies have become the backbone of Intelligent Transportation Systems (ITS) where different ITS components leverage advances in IoT, intelligent control, cloud computing and artificial intelligence to get connected to each other while providing innovative services.
While there has been a tremendous fast progress in the development of Intelligent Transportation Systems in recent years, the security of such systems did not scale up at the same rate. Actually, researchers have been investigating the security and privacy aspects of these systems as the number of cyber-attacks targeting IoT devices, cloud providers and other key components of Intelligent Transportation Systems has been on a constant rise. The goal of this workshop is to bring together academia, industry and government, researchers and practitioners, to analyze and discuss the security, privacy and trust issues in Intelligent Transportation Systems.
In recent years, the pervasive widespread of technological breakthrough in computers and wireless technology has revolutionized our lives. In particular, intelligent transportation systems rely heavily on modern technologies such as IoT and Cloud Computing to offer a variety of services between connected vehicles and infrastructure to make travel safer, cleaner, and more efficient. However, in recent years, there has been a considerable increase in the number of cyber-attacks targeting such technologies, which threatens the sustainability of such systems. As such, government agencies as well as academic organization and industry have been investing time, money and efforts on Intelligent Transportation Systems with a particular focus on the security of such systems. For instance, the US Department of Transportation (DOT) established an ITS joint program office in 1996 while the European Commission has adopted in 2016 a European Strategy on Cooperative Intelligent Transport Systems (C-ITS).
To Be Updated Soon
Call for Papers
Papers should not exceed 6 pages (two additional pages allowed with a fee) according to the IEEE IV 2022 Guidelines. Each paper will undergo a peer-reviewing process by at least three independent reviewers. Contributions will be reviewed according to relevance, originality and novel ideas, technical soundness and quality of presentation. Accepted papers will published in the conference proceeding.
The proposed topics include but are not limited to the following:
- Security, Privacy and Trust in Advanced Traffic Management Systems
- Security Privacy and Trust in Advanced Vehicle Control Systems
- Security, Privacy and Trust in Connected Vehicles
- Security, Privacy and Trust in V2V, V2I and V2X
- Security Architectures for Intelligent Transportation Systems
- Security, Privacy and Trust of data collection, transmission and analysis in Intelligent Transportation Systems
- Security, Privacy and Trust of 5G-based Intelligent Transportation Systems
- Lightweight cryptographic algorithms and protocols for Intelligent Transportation Systems
- AI and Machine Learning Approaches to detect and classify cyber-attacks targeting Intelligent Transportation Systems
- Blockchain for Secure Intelligent Transportation Systems
- Secure vehicular fog computing and cloud based Internet of Vehicles
- Authentication and Access Management in Intelligent Transportation Systems
- Key Management Protocols for Intelligent Transportation Systems
- Measurement of Privacy Leakage in Intelligent Transportation Systems
- Threat Models and Attack Strategies of Intelligent Transportation Systems
- Intrusion and Malware Detection for Intelligent Transportation Systems
- Adversarial attacls and/or game theory based attach detection/mitigation in ITS
The workshop schedule is as follows. All times are in local time in Germany
Greetings & Opening Remarks
Invited Talk 1 Dr. Shiho Kim & Dr. Rakesh Shrestha
Cybersecurity in Internet of Vehicles
Invited Talk 2 Dr. Qing Tian
Privacy-Aware Distributed Deep Neural Networks in IoT Surveillance Systems
Invited Talk 3 Dr. Hamid Menouar
The Future of Mobility: Opportunities and Challenges
Workshop Paper 1 Natasha Al-Kahtib
Unsupervised Network Intrusion Detection System for AVTP in Automotive Ethernet Network
Workshop Paper 2 Rihini Poolat Parameswarath
An Authentication Mechanism for Remote Keyless Entry Systems in Cars to Prevent Replay and RollJam Attacks
Workshop Paper 3 TBD
Security Analysis of Merging Control for Connected and Automated Vehicles
Dr. Thabet Kacem
Dr. Thabet Kacem is an Assistant Professor of Computer Science at the University of the District of Columbia (UDC), located in Washington, D.C., USA. He obtained his PhD in Information Technology at George Mason University in May 2016. His research interests include software engineering, cyber-security, smart transportation systems, IoT security, cloud computing security, cyber-physical systems, software-defined radios/radars and security protocols. He has taught several courses on Information Security, Cyber Physical Systems and Secure Software Engineering. Dr. Kacem has authored 19 peer-reviewed conference and journal papers on cybersecurity in air traffic management, smartphones and networking in addition to 364 citations and an h-index of 8 in Google Scholar. Dr. Kacem has been an IEEE and ITSS member since 2016.
Dr. Aiman Erbad
Dr. Aiman Erbad is an Associate Professor and ICT Division Head in the College of Science and Engineering, Hamad Bin Khalifa University (HBKU). Dr. Erbad obtained a Ph.D. in Computer Science from the University of British Columbia (Canada) in 2012, and a Master of Computer Science in embedded systems and robotics from the University of Essex (UK). He received the 2020 Best Research Paper Award from Computer Communications, the IWCMC 2019 Best Paper Award, and the IEEE CCWC 2017 Best Paper Award. He is an editor in two international journals. He also served as a Program Chair of the International Wireless Communications Mobile Computing Conference, as a Publicity chair of the ACM MoVid Workshop 2015, and as a Local Arrangement Chair of NOSSDAV 2011. His research interests span cloud computing, edge intelligence, Internet of Things (IoT), private and secure networks, and multimedia systems. He is a senior member of IEEE and ACM.