Advanced Security Mechanisms for Autonomous Vehicles

Autonomous vehicular applications require the distribution of high volume of information-rich and safety-critical data among heterogeneous players. Autonomous vehicles (AV) communicate with each other and the world around them in high mobility manner under poor connectivity and tough signal propagation. Attacking AVs are applicable business and cyber-attacks can affect the AV industry and cause severe damages to individuals and organizations. In this project, we propose advanced security mechanism to defend against various attacks that affect the integrity, access control, availability, and privacy of AVs. The proposed security mechanism will be implemented and integrated with recent technologies such as Information Centric Networking (ICN) and Artificial Intelligence (AI), and overcome the capacity, latency, reliability, and scalability challenges of AV communications.

Faculty Supervisor:

Changcheng Huang

Student:

Eslam AbdAllah

Partner:

Quantropi

Discipline:

Engineering - computer / electrical

Sector:

Automotive and transportation

University:

Program: