@inproceedings{35db469a8f944012951f48bf5b1f715b,
title = "An Emerging Security Framework for Connected Autonomous Vehicles",
abstract = "Connected Autonomous Vehicles (CAVs) are drive-less vehicles that equipped with sophisticated technologies that provide safe and efficient transportation for the users. The automated and connected nature of a CA V make them vulnerable to cyber attack. There have been various solutions proposed recently for establishing security in the communication. Majority focuses on security services such as confidentiality, integrity, availability and authentication. This paper analyzes the most recent concepts that have been discussed in the literature to protect the CA V s from the attackers as well as introduce our new security framework that can address the gaps in the current security knowledge by extending our previous ideas and solutions.",
keywords = "Authentication, Availability, Confidentiality, Connected and Autonomous Vehicles, eSIM, Integrity, Security Framework",
author = "Almehrezi, {Fatema Rashed} and Yeun, {Chan Yeob} and Yoo, {Paul D.} and Ernesto Damiani and {Al Hammadi}, Yousof and Yeun, {Hyun Ku}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020 ; Conference date: 05-11-2020 Through 07-11-2020",
year = "2020",
month = nov,
day = "5",
doi = "10.1109/BESC51023.2020.9348317",
language = "British English",
series = "Proceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020",
address = "United States",
}