Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9971
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dc.contributor.authorGupta, Gautam-
dc.contributor.authorGupta, Deepak [Guided by]-
dc.date.accessioned2023-09-13T04:55:57Z-
dc.date.available2023-09-13T04:55:57Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9971-
dc.descriptionEnrollment No. 191311en_US
dc.description.abstractMalware poses a significant threat to today's infrastructure. Malware is a computer code designed to gain unauthorized access, exploit vulnerabilities and cause overall harm to digital systems all around the world. Today, malware poses a big threat to any country's critical infrastructure such as banks, defense systems, stock markets, etc. Although working in the digital space, the consequences of its actions can reflect in the physical world too. In order to detect and prevent malware from affecting infra, many techniques such as signature-based detection are used but with the advancements in technology, these old strategies are rendered obsolete by ever-evolving malware threats.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectMalware detectionen_US
dc.subjectMachine learningen_US
dc.subjectNumpyen_US
dc.subjectK- nearest neighborsen_US
dc.titleMalware Analysis using Machine Learningen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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