Sybil attack identification method and device for intelligent connected automobile

The invention provides a Sybil attack identification method and device for an intelligent connected automobile. The method comprises the following steps: acquiring three nodes with unknown identities, including a malicious node, a Sybil node and a normal node, and a reference signal receiving power (RSRP) sequence of the three nodes with unknown identities; a Bernaola Galvn segmentation algorithm is utilized to search for mutation points of the RSRP sequences of the three nodes with unknown identities, and the RSRP sequences of the malicious nodes are determined according to the number of the mutation points; calculating a difference mean value between the RSRP sequence of the malicious node and the RSRP sequences of other two nodes with unknown identities, and respectively adding the difference mean value to the RSRP sequence of the malicious node to obtain a power-recovered RSRP sequence of the malicious node; and respectively calculating the similarity between the RSRP sequence of the malicious node with t