An Approach Based on Chain Key Predistribution against Sybil Attack in Wireless Sensor Networks

Author:

Cheng Chunling123ORCID,Qian Yaqiu1ORCID,Zhang Dengyin3

Affiliation:

1. College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China

2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, Jiangsu 210003, China

3. Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Jiangsu Province, Nanjing, Jiangsu 210003, China

Abstract

In wireless sensor networks (WSN), Sybil attack can destroy the routing and data distributed storage mechanisms through fabricating identity information of legitimate nodes. This paper presents a chain key predistribution based approach against Sybil attack. To enhance the security of common keys between neighboring nodes, during the chain key predistribution phase, our approach uses a lightweight hash function to generate several chain keys by hashing the unique identity information of every node sequentially in the trusted base station. These chain keys construct a pool of chain keys. During the pairwise key authentication establishment phase, a node-to-node chain key based authentication and exchange (CK-AE) protocol is proposed, by which each node can share the unique pairwise key with its neighboring node. The CK-AE protocol is provably secure in the universally composable security model (UCSM). Finally, we analyze our approach from the resilience of network and the performance overhead, and the results show that our approach can not only enhance the ability of resilience to Sybil attack, but also reduce the communication overhead significantly at the cost of a certain amount of computational overhead.

Funder

National Natural Science Foundation of China

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Two Step Verification technique For Detection of Malicious Nodes in Wireless Sensor Networks;JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES;2019-02-19

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