72 results about "Sybil attack" patented technology

The invention discloses a block synchronization method and a block synchronization system. A part of normal nodes in a block chain network become snapshoot nodes by the way of mortgaging digital currency, the snapshoot nodes perform snapshoot treatment on transaction information in a plurality of blocks in a snapshoot area, so that the snapshoot information of the blocks is acquired, and the snapshoot information is signed to acquire corresponding signature information; a newly added node acquires snapshoot information and corresponding signature information from the snapshoot nodes, verifiesthe signature information and the snapshoot information; if the verification is passed, and the quantity of the same snapshoot information is more than a certain number, the block is downloaded from the preset node, the snapshoot information passing the verification is used for verifying the downloaded block; if the verification is passed, the downloaded block is added into a block chain transcript of the node, so that the block synchronization security is enhanced, the problem that the false block is synchronized due to the inexistence of a credible node list used for generating the snapshootinformation is avoided, and the risk of suffering a Sybil attack is reduced.

The system described herein is an autonomous decentralized platform that facilitates a framework for the evolution of verified reputation for anonymous or identifiable users, human or machine. The platform can be built on decentralized or centralized networks, including a blockchain or distributed hash table. Described herein is the architecture's implementation in the case of a distributed network with anonymous users. Using a system of checks and balances, the platform is designed to address the Sybil attack and tyranny of the majority problems.

The invention belongs to the field of intrusion detection algorithms in the Internet of Vehicles, and particularly relates to an Internet-of-Vehicles intrusion detection system based on a hidden Markov model. The system is used for intrusion detection of a False alert attack, a Sybil attack, a Black hole attack and a DoS attack in the Internet of Vehicles. The system mainly comprises a pre-detection module, a DNN-based detection center module, an updating module used for recording a vehicle state and generating a hidden Markov model, and a response center module used for generating a responsesignal, and under the normal operation state of the Internet of Vehicles, the modules jointly guarantee efficient operation of the Internet of Vehicles. Under the attack detection state, the components supplement each other to jointly complete an attack monitoring defense process. Compared with the DNN-based IDS, the Internet-of-Vehicles intrusion detection system has the advantages that the detection precision, overhead and detection time are improved, the detection precision is higher, the average detection time is far shorter than that of an IDS based on DNN, meanwhile, the expenditure is lower, compared with an IDS using state switching, the expenditure of a pre-detection mechanism used in the method is lower, and more computing resources are saved.

The invention discloses an attack robot detection method and detection system in a multi-robot network. The method comprises the following steps: using a plurality of labels placed on a target robot for reflecting wireless signals from an adjacent robot; the target robot firstly constructing a unique signal feature matrix for each adjacent robot based on extracted rebound wireless signals; then, effectively measuring the distance between every two characteristic matrixes; then, generating a matrix containing the similarity probability between every two adjacent robots based on the measured distance; and finally, the adjacent robots at the same position or on the same path having similar signal characteristics, and based on the signal space characteristics, judging a legal robot and a malicious attacker in the adjacent robots according to a similarity matrix so as to detect a false robot forged by a Sybil attacker in the current network. Even on a lightweight robot platform only provided with a single antenna, accurate Sybil attack detection can be achieved, the structure is simple, and practicability is high.