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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 |