@inproceedings{276901b792ac448a864fce61a2e2dfa4,
title = "Data encryption and fragmentation in autonomous vehicles using raspberry Pi 3",
abstract = "Autonomous vehicles have huge potential in improving road safety and congestion. Towards the road map of full autonomy, each vehicle will be able to communicate with other vehicles within the network of vehicles to improve congestion and notify emergencies. Many architectures for communication between vehicles are centralised, typically using cloud servers. The security and trust of that communication is paramount. Therefore, the aim of this paper is to propose a novel method for encrypting and fragmenting data in various cloud providers in order to protect the anonymity and increase the uncertainty for an attacker having access to the data on cloud. Our experimental results seem promising and we were able to achieve good results with low overhead in transmission.",
keywords = "Autonomous vehicles, Component; data fragmentation, Encryption",
author = "Sahand Murad and Stavros Shiaeles and Asiya Khan and Giovani Masala",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2019 IEEE World Congress on Services, SERVICES 2019 ; Conference date: 08-07-2019 Through 13-07-2019",
year = "2019",
month = aug,
day = "29",
doi = "10.1109/SERVICES.2019.00058",
language = "English",
isbn = "9781728138527",
series = "IEEE SERVICES Proceedings Series",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "212--216",
editor = "Chang, {Carl K.} and Peter Chen and Michael Goul and Katsunori Oyama and Stephan Reiff-Marganiec and Yanchun Sun and Shangguang Wang and Zhongjie Wang",
booktitle = "2019 IEEE World Congress on Services (SERVICES)",
address = "United States",
}