Sybil attack detection scheme based on AOA in heterogeneous wireless sensor networks

In the wireless sensor network, sybil attack nodes launch attacks by forging multiple identities. If different sybil identities send messages with different transmitting powers, the sybil attack behavior will be difficult to detect. To solve this problem, this paper proposes a sybil attack detection scheme based on the angle of arrival (AOA) in a heterogeneous network environment. In this scheme, heterogeneous nodes detect the angle of arrival from surrounding nodes, and use the angle information to establish a list of suspicious sybil nodes. Through the information interaction between neighboring heterogeneous nodes, the sybil attack node can be located cooperatively. For the special case of heterogeneous nodes, a single heterogeneous node enhanced detection mechanism is proposed to detect sybil nodes. Through theoretical analysis and simulation experiments, the scheme can quickly and accurately identify the malicious nodes, reduce the energy consumption of the nodes, and extend network life.