Jebin Bose S

A state-of-the-art analysis of android malware detection methods

• Authors Details :  
• Jebin Bose S,  
• Kalaiselvi. R

Journal title : 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI)

Publisher : IEEE

266 Views Conference

Smartphones are constantly changing in today's world, and as a result, security has become a major concern. Security is a vital aspect of human life, and in a world where security is lacking, it becomes a concern for mobile users' safety. Malware is one of the most serious security risks to smartphones. Mobile malware attacks are becoming more sophisticated and widespread. Malware authors consider the open-source Android platform to be their preferred target as it came to lead the market. State-of-the-art mobile malware detection solutions in the literature use a variety of metrics and models, making cross-comparison difficult. In this paper various existing methods are compared and a significant effort is made to briefly address android malwares, various methods for detecting android malwares and to give a clear image of the progress of the android platform and various malware detection classifiers.

Article DOI & Crossmark Data

DOI : https://doi.org/10.1109/ICOEI53556.2022.9777170

Article Subject Details

• Artificial Intelligence
• Computational Mathematics
• Computer Science
• Computer Science Applications
• Information technology

Article Keywords Details

• Machine Learning
• Malware Detection
• Security
• Smart phone
• Android

Article File

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