Malware Detection Using Linear Regression

Computer Science and Engineering

Global pervasiveness of smart phones has prompted thousands of commercially available, free applications are being created. These programmes enable users to carry out a wide range of tasks, including gaming, chatting, and finishing financial and educational tasks. These frequently used gadgets store private and sensitive information and are increasingly being targeted by destructive malicious software. The flourishing mobile ecosystem is being hampered by the alarming proliferation of rogue apps. According to recent statistics, a new malicious Android app is released every 10 seconds. The Android operating system allows users to download and install software from unreliable websites, including file- sharing and third-party app stores. To combat major malware operations, recent statistics suggested that 98% of mobile malware targeted Android smartphones. As a result, a scalable malware detection solution that effectively/efficiently displays harmful programmes is needed. The development of various malware detection programmes includes a) systemlevel and b) network-level strategies.

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