2016/11/13 by Michel Toulouse, Toulouse, Michel, Hai Le +5
Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #Distributed systems and fault tolerance #FOS: Computer and information sciences #Network Security and Intrusion Detection #Privacy-Preserving Technologies in Data #Security in Wireless Sensor Networks
paper · pdf · doi:10.48550/arxiv.1611.04227
openalex publication_date 2016/11/13 · openalex created_date 2022/08/23 · openalex updated_date 2026/07/28
Consensus algorithms provide strategies to solve problems in a distributed\nsystem with the added constraint that data can only be shared between adjacent\ncomputing nodes. We find these algorithms in applications for wireless and\nsensor networks, spectrum sensing for cognitive radio, even for some IoT\nservices. However, consensus-based applications are not resilient to\ncompromised nodes sending falsified data to their neighbors, i.e. they can be\nthe target of Byzantine attacks. Several solutions have been proposed in the\nliterature inspired from reputation based systems, outlier detection or\nmodel-based fault detection techniques in process control. We have reviewed\nsome of these solutions, and propose two mitigation techniques to protect the\nconsensus-based Network Intrusion Detection System in\n citetoulouse2015consensus. We analyze several implementation issues such as\ncomputational overhead, fine tuning of the solution parameters, impacts on the\nconvergence of the consensus phase, accuracy of the intrusion detection system.\n