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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sree, P.K. Babu, I.R. |
| Copyright Year | 2008 |
| Abstract | Adhoc wireless network with their changing topology and distributed nature are more prone to intruders. The efficiency of an Intrusion detection system in the case of an adhoc network is not only determined by its dynamicity in monitoring but also in its flexibility in utilizing the available power in each of its nodes. In this paper we propose a hybrid intrusion detection system, based on a power level metric for potential adhoc hosts, which is used to determine the duration for which a particular node can support a network-monitoring node. The detection of intrusions in the network is done with the help of Cellular Automata (CA). IDFADNWCA (Intrusion Detection for Adhoc Networks with Cellular Automata) focuses on the available power level in each of the nodes and determines the network monitors. Power Level Metric in the network results in maintaining power for network monitoring, with monitors changing often, since it is an iterative power optimal solution to identify nodes for distributed agent based intrusion detection. The advantage of this approach entails is the inherent flexibility it provides, by means of considering only fewer nodes for reestablishing network monitors. |
| Starting Page | 1071 |
| Ending Page | 1075 |
| File Size | 316057 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769534893 |
| DOI | 10.1109/ICACTE.2008.160 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-20 |
| Publisher Place | Thailand |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adhoc Networks Watches Cellular Automata Genetic algorithms Power engineering computing Network topology Wireless networks Power system protection Intrusion detection Computer networks Genetic Algorithms Monitoring Power engineering and energy |
| Content Type | Text |
| Resource Type | Article |
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