Sinkhole Attack Defense Strategy Integrating SPA and Jaya Algorithms in Wireless Sensor Networks

Author:

Teng Zhijun12,Li Mingzhe2ORCID,Yu Libo2,Gu Jinliang2,Li Meng2

Affiliation:

1. Modern Power System Simulation Control and Green Energy New Technology Key Laboratory of the Ministry of Education, School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China

2. School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China

Abstract

A sinkhole attack is characterized by low difficulty to launch, high destructive power, and difficulty to detect and defend. It is a common attack mode for wireless sensor networks. This paper proposes a sinkhole attack detection and defense strategy integrating SPA and Jaya algorithms in wireless sensor networks (WSNs). Then, combined with the SPA trust model, the trust values of suspicious nodes were calculated, and the attack nodes were detected. The Jaya algorithm was adopted to avoid the attacked area so that nodes can find the route to communicate with the real Sink, and attack nodes are isolated in the network to improve the capabilities of network directional defense. The simulation results show that the improved detection algorithm can effectively detect malicious nodes in the network, and the defense strategy implemented in the attacked area can improve the packet delivery rate, reduce network delay and energy consumption, and improve the security and reliability of wireless sensor networks.

Funder

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference25 articles.

1. A comprehensive taxonomy of schemes to detect and mitigate blackhole attack and its variants in MANETs;Khanna;Comput. Sci. Rev.,2019

2. Congestion Control and Energy Optimization Routing Algorithm for Wireless Sensor Networks;Li;J. Northeast Electr. Power Univ.,2020

3. Sinkhole Attacks in Wireless Sensor Networks: A Survey;Rehman;Wirel. Pers. Commun.,2018

4. Identify Selective Forwarding Attacks Using Danger Model: Promote the Detection Accuracy in Wireless Sensor Networks;Huang;J. IEEE Sensors Journal.,2022

5. A Detection and Defense Method for Black Hole Attacks in Wireless Sensor Networks;Wang;Comput. Sci.,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3