| Autor: |
Mu Han, Mengli Zhu, Pengzhou Cheng, Zhikun Yin, Haixin Qu |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Symmetry, Vol 13, Iss 7, p 1177 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2073-8994 |
| DOI: |
10.3390/sym13071177 |
| Popis: |
As the Internet of vehicles (IoV) is the perceptual information subject, the intelligent connected vehicle (ICV) is establishing an interconnected information transmission system through opening more external interfaces. However, security communication problems thereby are generated, attracting massive attention for researchers. Hence, the in-vehicle network system is responsible for controlling the state of the ICV and has a major impact on driving safety. In this paper, we designed an efficient secure ciphertext-policy attribute-based encryption (CP-ABE) system for protecting communication. The research focuses on mining the frequency features between vehicle nodes through the max-miner association rules algorithm, aiming to build frequent item sets. Furthermore, an improved asymmetric ABE scheme can implement secure communication in-vehicle nodes that belong to the same classification set. Through the hardware platform and in-vehicle network simulator (INVS) to evaluate our scheme, the results demonstrate that the work possesses enough security without reducing communication efficiency, meanwhile improve bus load performance. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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