A Cross-Layer based Hidden Marko(C-HMM) Model for Detection and Prevention of Malicious Attacks in Wireless Ad-hoc Networks

被引：0
|
作者：
Jagadeesan, S. [1 ]
Manjula, R. [2 ]
Johnpeter, T. [3 ]
机构：
[1] Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci &, Dept Comp Sci & Engn, Chennai, Tamil Nadu, India
[2] SRM Inst Sci & Technol, Dept Comp Technol, Coll Engn & Technol, Chennai, Tamil Nadu, India
[3] K Ramakrishnan Coll Engn, Dept Comp Sci & Engn, Trichy, India
来源：
2021 IEEE INTERNATIONAL CONFERENCE ON MOBILE NETWORKS AND WIRELESS COMMUNICATIONS (ICMNWC) | 2021年
关键词：
blackhole attack; wormhole attack; machine learning; cross-layer; hidden marko model;
D O I：
10.1109/ICMNWC52512.2021.9688414
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Wireless mobile ad-hoc network is a self-configuring network which is used several mobile nodes. Mobile nodes are hop to hop communication between the nodes. In recent years' malicious attacks (blackhole and wormhole attack) have a serious thread in wireless communication. Blackhole attack and wormhole attack consume more energy, computing resource, network behaviour. In this paper a novel Cross-layer based Hidden Marko model(C-HMM) is proposed to detect and isolating a blackhole and wormhole attacks with high performance and less communication cost in wireless ad-hoc networks. The proposed algorithm C-HMM beats HMM in terms of packet loss ratio, delay, packet received and PDR. Experimental results are comparing with various parameters with help of ns2.34 simulation software.
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页数：5
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