Analysis and Identification of Malicious Mobile Applications Software

Analysis and Identification of Malicious Mobile Applications Software

Lokesh J 1, S. Yeswanth sai 2, Sheetal Ramesh 3 , Veerendragouda H 4, Dr Pakruddin B 5

1234  UG student, Dept. of Computer Science & Technology, Presidency University, Bengaluru 5 Assistant Professor, Dept. of Computer Science & Engineering, Presidency University, Bengaluru.

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Abstract - The widespread adoption of mobile applications has made smartphones an indispensable part of our life. But as customers' reliance on mobile applications has grown, they are now increasingly susceptible to rogue apps that pose a severe threat to device security and data privacy. The average user might not have the technical know-how to tell the difference between safe and dangerous software, therefore it might be challenging for them to identify such programmes before installing them.

A web-based malware detection tool called Cyber Rakshak File Scanner is provided by the "Analysis and Identification of Malicious Mobile Applications" project as a remedy for this issue. The Virus Total API is used to scan mobile application files that users upload to this system. The output of multiple antivirus engines is combined by Virus Total to produce a comprehensive and accurate assessment of the file's security.

Real-time analysis and thorough reports that emphasise the threat category, antivirus engine, and detection method are provided by Cyber Rakshak. This technology decreases the risk of cyberattacks and fosters a safer mobile environment by enabling users to make educated decisions before installing apps.