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 #cs.CR
paper · pdf · doi:10.48550/arxiv.1611.04227
The seventh international symposium of information and communication technology
openalex publication_date 2016/11/13 · arxiv created 2016/11/14 · arxiv updated 2016/11/15 · openalex created_date 2022/08/23 · openalex updated_date 2026/07/28
Consensus algorithms provide strategies to solve problems in a distributed system with the added constraint that data can only be shared between adjacent computing nodes. We find these algorithms in applications for wireless and sensor networks, spectrum sensing for cognitive radio, even for some IoT services. However, consensus-based applications are not resilient to compromised nodes sending falsified data to their neighbors, i.e. they can be the target of Byzantine attacks. Several solutions have been proposed in the literature inspired from reputation based systems, outlier detection or model-based fault detection techniques in process control. We have reviewed some of these solutions, and propose two mitigation techniques to protect the consensus-based Network Intrusion Detection System in \citetoulouse2015consensus. We analyze several implementation issues such as computational overhead, fine tuning of the solution parameters, impacts on the convergence of the consensus phase, accuracy of the intrusion detection system.