Open AccessGenetic‐based framework for prevention of masquerade and DDoS attacks in vehicular ad‐hoc networks
Author(s) -
Malhi Avleen Kaur,
Batra Shalini
Publication year - 2016
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0122
pISSN - 1939-0114
DOI - 10.1002/sec.1506
Subject(s) - denial of service attack , computer science , computer security , software deployment , wireless ad hoc network , vehicular ad hoc network , computer network , mobile ad hoc network , wireless , network packet , telecommunications , the internet , world wide web , operating system
Inter‐vehicular communication needs to be secure and anonymous as the effective and robust operations including security and privacy are critical for the deployment of vehicular ad‐hoc networks (VANETs). The security of VANETs has become an imperative matter of consideration, which is prone to disparate security threats. The masquerade attacks and distributed denial of service attacks are among them that hinders the availability of the network. In this paper, a secure genetic‐based framework is proposed for the detection and prevention of masquerade and distributed denial of service attacks in VANETs. The proposed framework is very efficient in the detection and prevention of network anomalies that can affect the network performance. The proposed scheme is evaluated over genetic model defined using Gaussian modelling. The analysis and evaluation of the adduced framework is also presented in the paper. Copyright © 2016 John Wiley & Sons, Ltd.