Malicious Application Detection in Android using Machine Learning

Due to the Android platform’s recent surge in popularity, the number of malicious Android applications has increased quickly. We are more vulnerable to mobile viruses and fraudulent apps since our daily lives have become more dependent on the use of mobile applications like games, emails, and social networking sites. This paper examines the problem of identifying fraudulent apps on mobile internet, which is essential for safeguarding user privacy and private information. By transforming the Android internet dangerous application identification problem into a classification problem, we may utilize the SVM classifier to solve it. We conclude by testing the effectiveness of the suggested approach. Findings from experiments that the suggested can recognize.