Detection of selective forwarding attack in the Internet of things
物联网中选择性转发攻击的发现

As one of the strategic and rising industries, the Internet of things has an expansive application in the future, but its security is becoming a focus of popular attention. Due to limited resource for sensor nodes and non-perfect environment of deployment, the Internet of things is vulnerable and easily compromised by various attacks, of which the selective forwarding attack is one of the worst ones. A low-cost and lightweight algorithm is proposed to detect selective forwarding attack in the Internet of things based on packet ID check. Namely, any cluster head will compare the received packet ID with its local record, and update local recorded ID, the result of inspection is used to decide if any suspicious node exists or not. The cluster head will send a warning packet to the base station to report a suspicious node. The base station judges malicious nodes by the reported suspicious times. The simulation results show that our algorithm can effectively detect malicious nodes with high detection ratio and low false alarm ratio.