Route Cache Based SVM Classifier for Intrusion Detection of Control Packet Attacks in Mobile Ad-Hoc Networks
Title | Route Cache Based SVM Classifier for Intrusion Detection of Control Packet Attacks in Mobile Ad-Hoc Networks |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Basomingera, R., Choi, Y. |
Conference Name | 2019 International Conference on Information Networking (ICOIN) |
Date Published | jan |
Keywords | Ad hoc networks, composability, Data models, IDS, MANET, MANET Attack Detection, Metrics, mobile computing, pubcrawl, Resiliency, Route cache, Routing, Routing protocols, Support vector machines, SVM |
Abstract | For the security of mobile ad-hoc networks (MANETs), a group of wireless mobile nodes needs to cooperate by forwarding packets, to implement an intrusion detection system (IDS). Some of the current IDS implementations in a clustered MANET have designed mobile nodes to wait until the cluster head is elected before scanning the network and thus nodes may be, unfortunately, exposed to several control packet attacks by which nodes identify falsified routes to reach other nodes. In order to detect control packet attacks such as route falsification, we design a route cache sharing mechanism for a non-clustered network where all one-hop routing data are collected by each node for a cooperative host-based detection. The cooperative host-based detection system uses a Support Vector Machine classifier and achieves a detection rate of around 95%. By successfully detecting the route falsification attacks, nodes are given the capability to avoid other attacks such as black-hole and gray-hole, which are in many cases a result of a successful route falsification attack. |
URL | https://ieeexplore.ieee.org/document/8718169 |
DOI | 10.1109/ICOIN.2019.8718169 |
Citation Key | basomingera_route_2019 |