| Title |
A Reputation System for Detection of Black Hole Attack in Vehicular Networking |
| ID_Doc |
40982 |
| Authors |
Khatoun, R; Gu, P; Doulami, R; Khoukhi, L; Serhrouchni, A |
| Title |
A Reputation System for Detection of Black Hole Attack in Vehicular Networking |
| Year |
2015 |
| Published |
|
| DOI |
|
| Abstract |
In recent years, vehicular networks has drawn special attention as it has significant potential to play an important role in future smart city to improve the traffic efficiency and guarantee the road safety. Safety in vehicular networks is crucial because that it affects the life of humans. It is essential like that the vital information cannot be modified or deleted by an attacker and must be also determine the responsibility of drivers while maintaining their privacy. The Black hole attack is a well-known and critical threaten of network availability in vehicular environment. In this paper we present a new reputation system for vehicular networks, where each vehicle reports the packet transmission with its neighbours and the Trust Authority (TA) classifies the reliability of players based on the reports. This reputation system can quickly detect the malicious players in the network, prevent the damage caused by the Black hole attack and improve the effectiveness of routing process. |
| Author Keywords |
Vehicular Networking; Smart City; Black hole attack; Intrusion detection |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000380486200007 |
| WoS Category |
Engineering, Electrical & Electronic |
| Research Area |
Engineering |
| PDF |
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