Sybil node recognition method based on physical layer confidence degree

Abstract

The invention discloses a Sybil node recognition method based on the physical layer confidence degree. The method includes the steps that a node i and a node j are subjected to upper-layer initial authentication; the node i calculates and records the physical channel information H0<j> and ID0 of an information package; the information package confidence degree St<k>( i, j) is calculated and stored in a confidence degree list; whether the node confidence degree Sk(i, j) of the node j reaches the confidence threshold eta or not, if not, it is judged that the node j is a Sybil node, the node j is abandoned, and the whole network is notified. The Sybil node recognition method aims to achieve the purposes that the problem of single point failure of a centralized detection scheme of Sybil attack of a wireless sensor network is solved, a witness node in a distributed detection scheme is not needed, the physical channel information serves as an identity index, the confidence degree is established, a system can have certain tolerance, Sybil node recognition complexity is lowered while the false alarm rate is also lowered, and thus precision of Sybil node recognition is improved.

Description

technical field [0001] The invention relates to malicious node identification of a wireless sensor network, in particular to a Sybil node identification method based on physical layer trust degree. Background technique [0002] A wireless sensor network is a multi-hop network realized by a large number of sensor nodes with wireless communication modules by forwarding data to each other. applied. There are two types of identities in a Sybil attack: one is identity forgery and the other is identity theft. After obtaining the ID of the node, the attacker can forge the node and become a forged node in the Sybil attack. The forged node can be detected through the traditional encryption authentication mechanism, but the detection cost is relatively large. Identity theft means that attackers obtain legal identities by attacking, capturing, and embezzling legitimate nodes, which are used to cover Sybil nodes, but traditional identity authentication mechanisms cannot detect the emb...

AI Technical Summary

Problems solved by technology

The centralized Sybil attack detection scheme based on channel fingerprints concentrates all calculations and storage on the central node (base station), which has the advantages of low communication and storage overhead, but also has the problem of single point failure. When the central node fails , it is not possible to detect

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