Anomaly Based Intrusion Detection System

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dc.contributor.author 03-134142-041, HAMZA AZIZ
dc.contributor.author 03-134142-027, HAMZA AHMED
dc.date.accessioned 2024-07-10T08:34:11Z
dc.date.available 2024-07-10T08:34:11Z
dc.date.issued 2018-06-04
dc.identifier.uri http://hdl.handle.net/123456789/17553
dc.description.abstract As the research increased in computer science highlight the scientists mind for the growing research world towards security. Researchers have done a lot of research work in network Security. Cybersecurity has progressively become a zone of alarm for officials, Government agencies and industries, including big commercialized infrastructure, are under attack daily. First signature-based intrusion detection systems were developed, and it detects only known attacks. To detect strange attacks statistical IDS came into being recognized as anomaly-based IDS. It is not as much efficient as it detects all. This, study focuses on the efficiency of IDS using UNSW NB-15 dataset and suitable techniques to identify attacks. en_US
dc.description.sponsorship Supervisor: Asghar Ali Shah en_US
dc.language.iso en en_US
dc.relation.ispartofseries ;BULC255
dc.title Anomaly Based Intrusion Detection System en_US
dc.type Project Reports en_US


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