IEEE MOST 2023

Connected and Autonomous Vehicles (CAVs) pose significant security, trust and privacy challenges due to the large amount of sensitive data they collect, store and transmit. The vehicles themselves can be targets for various types of cyber attacks, which can lead to theft, physical harm or manipulation of many critical functions that they provide. Additionally, the connected nature of CAVs means that data collected from the vehicles can be vulnerable to breaches, as well as data sharing with other entities such as manufacturers, service providers and governments.

In terms of privacy, CAVs collect and store vast amounts of personal information such as driving patterns, location data and vehicle usage information. This information is sensitive and valuable, and if it falls into the wrong hands, it can be used for malicious purposes such as identity theft, targeted advertising or even physical harm. Additionally, privacy concerns are also raised with the sharing of data between CAVs and other entities, as well as the potential use of CAVs for government surveillance.

Furthermore, with rapid adoption of emerging technologies in CAVs, including but not limited to advanced sensing, artificial intelligence and machine learning, blockchain, etc., CAV network becomes more open, meanwhile also more vulnerable to new security, trust and privacy challenges.

To address these challenges, it is important to develop better security, trust and privacy approaches for CAVs, so as to secure CAVs and protect user data. In this workshop, we aim at attracting innovative research ideas from both academia and industry, and fostering discussions that could help better shape the future directions of security and privacy for CAVs.

The main research topics of interest include, but not limited to:

• Secure communication protocols and encryption methods to protect sensitive data transmitted between CAVs and other entities
• Secure systems to protect against hacking, tampering and other malicious attacks on CAVs
• Establishment and management of trust between CAVs and other entities in the network
• Novel methods to protect sensitive information such as driving patterns, location data and vehicle usage information from unauthorized access and disclosure
• Authentication and authorization mechanisms to control access to CAV systems and data
• Malware detection and mitigation methods for CAVs
• Privacy-enhancing technologies to protect sensitive information in CAV systems, such as differential privacy, homomorphic encryption and secure multiparty computation
• Blockchain facilitated security solutions for CAVs
• Novel security architectures for CAVs
• Hardware supported solutions for security, privacy, and trust in CAVs
• Investigation of attacks towards CAVs
• Application level security in CAVs
• Security, privacy, and trust related safety issues

Submissions must be in the same format as in the final proceedings (6 pages maximum, 2 columns, 10 pt, US Letter) compliant with the IEEE formatting guidelines. Papers exceeding the page limit will not be reviewed. The material must be unpublished and not under submission elsewhere. Papers must be submitted electronically in a pdf format.

Please use https://easychair.org/my/conference?conf=mosec2023 for submission.