| Title | Development of an Intrusion Detection System Prototype in Mobile Ad Hoc Networks Based on Machine Learning Methods |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Legashev, Leonid, Grishina, Luybov |
| Conference Name | 2022 International Russian Automation Conference (RusAutoCon) |
| Keywords | Ad Hoc Network Security, Blackhole attack, composability, DDoS Attack, Intrusion detection, intrusion detection system, machine learning, Measurement, Metrics, mobile ad hoc network, Network topology, Prototypes, pubcrawl, resilience, Resiliency, telecommunication traffic, Throughput |
| Abstract | Wireless ad hoc networks are characterized by dynamic topology and high node mobility. Network attacks on wireless ad hoc networks can significantly reduce performance metrics, such as the packet delivery ratio from the source to the destination node, overhead, throughput, etc. The article presents an experimental study of an intrusion detection system prototype in mobile ad hoc networks based on machine learning. The experiment is carried out in a MANET segment of 50 nodes, the detection and prevention of DDoS and cooperative blackhole attacks are investigated. The dependencies of features on the type of network traffic and the dependence of performance metrics on the speed of mobile nodes in the network are investigated. The conducted experimental studies show the effectiveness of an intrusion detection system prototype on simulated data. |
| DOI | 10.1109/RusAutoCon54946.2022.9896238 |
| Citation Key | legashev_development_2022 |
Development of an Intrusion Detection System Prototype in Mobile Ad Hoc Networks Based on Machine Learning Methods