Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9971
Title: Malware Analysis using Machine Learning
Authors: Gupta, Gautam
Gupta, Deepak [Guided by]
Keywords: Malware detection
Machine learning
Numpy
K- nearest neighbors
Issue Date: 2023
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: Malware 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.
Description: Enrollment No. 191311
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9971
Appears in Collections:B.Tech. Project Reports

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