A master's thesis at the College of Engineering at the University of Basrah discussed a security framework for vehicle-to-vehicle autonomous systems
The thesis presented by student Zahraa Kadhum Farhoud addressed the topic
There are three goals: the first is to study the plans and verify the level of privacy they provide. The second is to improve and develop the privacy simulation framework to include thirteen privacy plans. The third goal is to propose a new privacy system aimed at improving and increasing the level of privacy.
 A hybrid silence-based approach to dynamic pseudonymization and privacy-preserving in vehicular networks (SHADOW) is proposed and implemented. The scheme in its scenario depends on the period of silence and the number of nearby vehicles. In the scenario implemented by this scheme, The car creates an internal flag known as “Ready_Flag” and constantly monitors neighboring vehicles within a radius R. It remains to wait until the number of neighbors reaches a specified threshold or becomes equal to K., while other conditions are met, which include the period of silence, and the lifetime of the alias. To evaluate this chart with other charts.
The letter concluded that SHADOW achieved a high level of privacy, and this was confirmed after testing it with several different scenarios and using different privacy metrics, including Max-Anonymity set size, Max-Entropy, Traceability, and Normalized Traceability.