Data Encryption and Fragmentation in Autonomous Vehicles using Raspberry Pi 3

被引：1

作者：

Murad, Sahand ^{[1
]}

Khan, Asiya ^{[1
]}

Shiaeles, Stavros ^{[1
]}

Masala, Giovanni ^{[2
]}

机构：

[1] Univ Plymouth, Plymouth, Devon, England

[2] Manchester Metropolitan Univ, Manchester, Lancs, England

来源：

2019 IEEE WORLD CONGRESS ON SERVICES (IEEE SERVICES 2019) | 2019年

关键词：

component; data fragmentation; encryption; autonomous vehicles;

D O I：

10.1109/SERVICES.2019.00058

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：212 / 216

页数：5

共 50 条

[31] Device Placement for Autonomous Vehicles using Reinforcement Learning [J].

Zheng, Jinkai ;

Mu, Phil K. ;

Man, Ziqian ;

Luan, Tom H. ;

Cai, Lin X. ;

Shan, Hangguan .

IEEE CONGRESS ON CYBERMATICS / 2021 IEEE INTERNATIONAL CONFERENCES ON INTERNET OF THINGS (ITHINGS) / IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) / IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) / IEEE SMART DATA (SMARTDATA), 2021, :190-196

[32] Behavior selector for autonomous vehicles using neural networks [J].