| Title | Security Optimization Based on Mimic Common Operating Environment for the Internet of Vehicles |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Xu, Yue, Ni, Ming, Ying, Fei, Zhang, Jingwen |
| Conference Name | 2020 2nd International Conference on Computer Communication and the Internet (ICCCI) |
| Date Published | June 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-5800-6 |
| Keywords | cloud computing, Computer architecture, cryptography, cyber physical systems, Encryption, Hardware, Human Behavior, human factors, Internet of Vehicles, IoV security, Metrics, mimic defense, pubcrawl, resilience, Resiliency, Sensors |
| Abstract | The increasing vehicles have brought convenience to people as well as many traffic problems. The Internet of Vehicles (IoV) is an extension of the intelligent transportation system based on the Internet of Things (IoT), which is the omnibearing network connection among “Vehicles, Loads, Clouds”. However, IoV also faces threats from various known and unknown security vulnerabilities. Traditional security defense methods can only deal with known attacks, while there is no effective way to deal with unknown attacks. In this paper, we show an IoV system deployed on a Mimic Common Operating Environment (MCOE). At the sensing layer, we introduce a lightweight cryptographic algorithm, LBlock, to encrypt the data collected by the hardware. Thus, we can prevent malicious tampering of information such as vehicle conditions. At the application layer, we firstly put the IoV system platform into MCOE to make it dynamic, heterogeneous and redundant. Extensive experiments prove that the sensing layer can encrypt data reliably and energy-efficiently. And we prove the feasibility and security of the Internet of Vehicles system platform on MCOE. |
| URL | https://ieeexplore.ieee.org/document/9145966 |
| DOI | 10.1109/ICCCI49374.2020.9145966 |
| Citation Key | xu_security_2020 |
Security Optimization Based on Mimic Common Operating Environment for the Internet of Vehicles