个人信息Personal Information
教授
硕士生导师
性别:男
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
电子邮箱:laixiaochen@dlut.edu.cn
Minimizing resource expenditure while maximizing destructiveness for node capture attacks
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论文类型:会议论文
发表时间:2015-11-18
收录刊物:EI、Scopus
卷号:9530
页面范围:403-416
摘要:In node capture attacks, an attacker intellectually captures nodes and extracts cryptographic keys from their memories to wreck security, reliability and confidentiality of wireless sensor networks. Previous methods suffered from low attacking efficiency and neglected resource expenditure. A novel method of modeling the node capture attack is pro- posed aiming at maximizing destructiveness while minimizing resource expenditure. We convert routing paths into abstracted vertexes and formalize hybrid graph model for the network. A property called destructive value is defined for expressing the destructiveness of attacking a node. We develop a Greedy AttaCking algoRithm named GACR on the hybrid graph. An attacker is able to maximize the destructiveness of the attack while constructing the shortest Hamiltonian cycle to reduce resource expenditure. At last, extensive simulations are conducted to show the advantages of our scheme. Simulation results demonstrate that, GACR can reduce the attacking times, enhance the attacking efficiencies and save energy cost in compromising the network. ? Springer International Publishing Switzerland 2015.