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Security Issues with In-Vehicle Networks, and Enhanced Countermeasures Based on Blockchain
Content Provider | MDPI |
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Author | Khatri, Narayan Shrestha, Rakesh Nam, Seung |
Copyright Year | 2021 |
Description | Modern vehicles are no longer simply mechanical devices. Connectivity between the vehicular network and the outside world has widened the security holes that hackers can use to exploit a vehicular network. Controller Area Network (CAN), FlexRay, and automotive Ethernet are popular protocols for in-vehicle networks (IVNs) and will stay in the industry for many more years. However, these protocols were not designed with security in mind. They have several vulnerabilities, such as lack of message authentication, lack of message encryption, and an ID-based arbitration mechanism for contention resolution. Adversaries can use these vulnerabilities to launch sophisticated attacks that may lead to loss of life and damage to property. Thus, the security of the vehicles should be handled carefully. In this paper, we investigate the security vulnerabilities with in-vehicle network protocols such as CAN, automotive Ethernet, and FlexRay. A comprehensive survey on security attacks launched against in-vehicle networks is presented along with countermeasures adopted by various researchers. Various algorithms have been proposed in the past for intrusion detection in IVNs. However, those approaches have several limitations that need special attention from the research community. Blockchain is a good approach to solving the existing security issues in IVNs, and we suggest a way to improve IVN security based on a hybrid blockchain. |
Starting Page | 893 |
e-ISSN | 20799292 |
DOI | 10.3390/electronics10080893 |
Journal | Electronics |
Issue Number | 8 |
Volume Number | 10 |
Language | English |
Publisher | MDPI |
Publisher Date | 2021-04-08 |
Access Restriction | Open |
Subject Keyword | Electronics Transportation Science and Technology In-vehicle Networks Controller Area Network (can) Automotive Ethernet Flexray Security Vehicle Blockchain Machine Learning Intrusion Detection System (ids) |
Content Type | Text |
Resource Type | Article |