Detection of Malicious Nodes (DMN) in Vehicular Ad-Hoc Networks

被引：79
|
作者：
Khan, Uzma [1 ]
Agrawal, Shikha [1 ]
Silakari, Sanjay [1 ]
机构：
[1] Univ Inst Technol, RGPV, Bhopal 462036, MP, India
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES, ICICT 2014 | 2015年 / 46卷
关键词：
Malicious; Misbehaviour; Detection; Security; Performance; Vehicular Ad-Hoc Networks (VANETs); MISBEHAVIOR DETECTION;
D O I：
10.1016/j.procs.2015.01.006
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
VANETs enable wireless communication among vehicles and vehicle to infrastructure. Its main objective is to render safety, comfort and convenience on the road. VANET is different from ad-hoc networks due to its unique characteristics. However, because of lack of infrastructure and centralized administration, it becomes vulnerable to misbehaviors. This greatly threatens different aspects of VANET's security. VANET being such a useful network must provide adequate security measures for secure communication. The proposed algorithm DMN-Detection of Malicious Nodes in VANETs improves DMV Algorithm in terms of effective selection of verifiers for detection of malicious nodes and hence improves the network performance. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码：965 / 972
页数：8
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