DSpace Repository

Information Theory based Intruder Detection in Sensor Networks

Show simple item record

dc.contributor.author Alrajei, Nancy
dc.date.accessioned 2022-12-12T12:06:47Z
dc.date.available 2022-12-12T12:06:47Z
dc.date.issued 22
dc.identifier.issn 2457-905X
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/8776
dc.description.abstract Abstract— Sensor networks are used for monitoring purposes in different environments. One of the biggest issues is to keep the network alive as long as possible. Another concern is to keep it safe from attacks. The limitations of sensor nodes make them particularly vulnerable to attacks from adversaries. The most damaging type of attack is Denial of Service (DoS) attack where parts of the network are overloaded with a flood of requests forcing them to deplete their power and die early. In this paper, we introduce a set of metrics by which intruders are identified among the other nodes. This approach is characterized by the fact that identification of intruders is based on the intrinsic behavior that is either harmful or not beneficial to the network. At the same time our approach saves the network power by taking advantage of network redundancy, and query minimum number of nodes without affecting the accuracy of the results. We tested different intruder detection metrics to see if we can accurately find intruders in the sensor network and how early to save the network from damage. Our results show the effectiveness of these metrics in detecting intruders with 100% accuracy and 0 error rate from some of them. en_US
dc.language.iso en_US en_US
dc.publisher Journal of Communications Technology, Electronics and Computer Science en_US
dc.relation.ispartofseries Volume 5;pp11-21
dc.subject intrusion detection; wireless sensor network; metric; usefulness; usability; utility; power consumption convergence. en_US
dc.title Information Theory based Intruder Detection in Sensor Networks en_US
dc.type Article en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


My Account