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ISSN 2063-5346
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DETAILED ANALYSIS OF CYBER ATTACK DETECTION USING MACHINE LEARNING

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D. Joseph Jeyakumar, B. Shanmathi, M.Priya, Senthil Kumar.V,R. Nithya,D.V. Swathy
» doi: 10.48047/ecb/2022.11.11.74

Abstract

Internet of Things (IoT) is one of the computing disciplines that is growing the fastest, the reality is that IoT is vulnerable to a wide range of attacks in the increasingly hostile online environment. To tackle this, practical countermeasures, like as network anomaly detection, need to be created to protect IoT networks. Attacks can never be totally avoided, but early attack identification is essential for effective protection. Numerous techniques for identifying malware were developed, including network and system techniques. However, expanding detection to a wide range of apps remains a difficulty. The reasons why cyber security matters so much in the constantly developing and fast growing field of cyber security are nearly impossible to quantify or explain. Concerns about cyber security affect not only governments, businesses, and educational institutions operating on the global network or internet, but also people and families. Using machine learning, we will create the cyber security scene.

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