Abstract
The lack of security in the vehicles on the road is real and should be taken seriously. Since the lifespan of vehicles has average of eleven years, this means if we start to implement new changes to vehicles today, it would takes eleven years to make sure most vehicles on the road support our implementation. This is important as the number of lines of codes in vehicles are ever increasing and becoming more autonomous with the ability for vehicles to drive themselves. But there is no security implemented in their low level systems such as the Control Area Network which is being used to transfer real time critical information and commands such as engine speed and the brake control. This project attempts to solve the lack of secruity by using SHA3 hashing algorithm based on the Keceak algorithm. The reason Keceak was chosen to be the SHA3 algorithm because it is hardware friendly and fast. Vehicle's manufacturers do not share information about the electrical parts used in the vehicles and their specification, this project presents the lowest hardware specification required to use SHA3 on the Control Area Network which is a process with a clock frequency of approximately 400 MHz. It is important to have a real-time communication network for the Control Area Network which also known as CAN. SHA3 is used to create a hash of the CAN message along with a node specific key and an IV to provide authentication and semantic security respectively; The digest will be transferred along with the message. To use the mechanism proposed in this project, all CAN nodes communicate with each other required to support CAN FD and also have the minimum hardware specification.
Publication Date
5-17-2017
Document Type
Master's Project
Student Type
Graduate
Degree Name
Computing Security (MS)
Department, Program, or Center
Department of Computing Security (GCCIS)
Advisor
Sumita Mishra
Advisor/Committee Member
Hrishikesh Acharya
Recommended Citation
Ameri, Aidin, "Adding Security to Control Area Network of Vehicles by Using SHA-3" (2017). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/9421
Campus
RIT – Main Campus