关键词: 无线传感器网络, 能量感知, 虚假数据, 特征节点, 恶意节点

Abstract:

Wireless Sensor Network (WSN) is usually deployed in complex environment, and an attacker can easily inject false data by capturing nodes, thus causing serious consequences. A malicious nodes detection algorithm based on feature nodes analysis (DAFNA) is proposed. Firstly, the energy values of the event sources are estimated, and nodes healthy characteristics are maintained in this process. Secondly, we establish coordinates according to the feature nodes, conduct a variance analysis of the calculated and perceived distances between the nodes to be detected and the event source, thus the malicious nodes are identified. Simulation result verifies the effectiveness of the proposed algorithm, and compared with Hur algorithm it has a better accommodation of malicious nodes while requiring less prior knowledge.

Key words: wireless sensor network(WSN);energyaware;false data;feature nodes;malicious nodes