Over the past decade, many 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).
In this context, this workshop on Security Challenges in Intelligent Transportation Systems is likely to draw a significant number of high-quality papers since this trending topic is at a crossroads between academia, industry and government. In addition to the high-quality papers turnout, this workshop will have two keynote speakers on this topic, one from government/industry and one from academia, which will likely draw high number of attendance as well.
Call for Papers
Papers should not exceed 6 pages (two additional pages allowed with a fee) according to the IEEE IV 2021 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
- 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
The workshop schedule is as follows. All times are in US Eastern Time (EST)
Greetings & Opening Remarks
Invited Talk 1 Dr. Shiho Kim & Dr. Rakesh Shrestha
Cybersecurity in Intelligent and Autonomous Vehicles
Invited Talk 2 Dr. Aiman Erbad
Privacy-Aware Distributed Deep Neural Networks in IoT Surveillance Systems
Invited Talk 3 Dr. Krishna Sampigethaya
Security and Privacy of UAS Traffic Management (UTM)
Workshop Paper 1 Ranwa Al-Mallah
Cybersecurity Threats in Connected and Automated Vehicles Based Federated Learning Systems
Workshop Paper 2 Steffie Maria Stephen
Blockchain Based Vehicle Authentication Scheme for Vehicular Ad-Hoc Networks
Workshop Paper 3 Dr. Thabet Kacem
ADS-B Attack Classification Using Machine Learning Techniques
Thabet Kacem is an Assistant Professor of Computer Science at UDC. He obtained his PhD in Information Technology at George Mason University in May 2016. He has authored several peer-reviewed conference and journal papers on Cyber Security in air traffic management, smartphones and networking.
His research interests include software engineering, cyber security, smart transportation systems, cyber-physical systems, software-defined radios/radars, security protocols, security requirements modeling and semantic technologies.
He currently serves as a Board Reviewer and Guest Editor for MDPI's Electronics Journal.