Intrusion Detection and Alerts Correlation Architecture in MANETS

dc.contributor.authorNAIT MOHAMED, abderrahim
dc.date.accessioned2018-01-31T13:20:05Z
dc.date.available2018-01-31T13:20:05Z
dc.date.issued2017
dc.description.abstractNowadays, MANET is widely used in many sensitive areas. Security in MANET is very challenging because MANETS are highly vulnerable to attacks. In this dissertation, we try to simulate an architecture of intrusion detection system to detect the malicious nodes. This architecture is based on the clusters that consider the trust metric in the cluster formation phase in order to improve detection accuracy.en_US
dc.identifier.urihttp://dspace.univ-msila.dz:8080//xmlui/handle/123456789/1991
dc.language.isoenen_US
dc.publisherFACULTY: Mathematics and Computer Science - UNIVERSITY OF MOHAMED BOUDIAF - M’SILAen_US
dc.subjectMANET, clusters, intrusion detection system. security. trust metric.en_US
dc.titleIntrusion Detection and Alerts Correlation Architecture in MANETSen_US
dc.typeThesisen_US

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