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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:大连理工大学
学位:博士
所在单位:软件学院、国际信息与软件学院
学科:计算机应用技术
联系方式:yaolin@dlut.edu.cn
电子邮箱:yaolin@dlut.edu.cn
An Efficient Wormhole Attack Detection Method in Wireless Sensor Networks
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论文类型:期刊论文
发表时间:2014-08-01
发表刊物:COMPUTER SCIENCE AND INFORMATION SYSTEMS
收录刊物:SCIE、Scopus
卷号:11
期号:3,SI
页面范围:1127-1141
ISSN号:1820-0214
关键字:wormhole attacks; wireless sensor network; local neighborhood; network topology
摘要:Wireless sensor networks are now widely used in many areas, such as military, environmental, health and commercial applications. In these environments, security issues are extremely important since a successful attack can cause great damage, even threatening human life. However, due to the open nature of wireless communication, WSNs are liable to be threatened by various attacks, especially destructive wormhole attack, in which the network topology is completely destroyed. Existing some solutions to detect wormhole attacks require special hardware or strict synchronized clocks or long processing time. Moreover, some solutions cannot even locate the wormhole. In this paper, a wormhole attack detection method is proposed based on the transmission range that exploits the local neighborhood information check without using extra hardware or clock synchronizations. Extensive simulations are conducted under different mobility models. Simulation results indicate that the proposed method can detect wormhole attacks effectively and efficiently in WSNs.