• Shrutika Singh
• Dr. Sadhna K. Mishra

The proliferation of mobile devices, particularly those running the Android operating system, has led to an unprecedented rise in the threat landscape of mobile malware. As malicious actors continue to exploit vulnerabilities and deploy sophisticated attack techniques, the need for proactive and effective defense mechanisms becomes imperative. This study delves into the realm of Android malware prediction using machine learning, aiming to develop robust models capable of identifying and mitigating potential threats in real-time. By leveraging the power of advanced machine learning algorithms, this research seeks to enhance the security posture of Android devices and contribute to the ongoing efforts in cybersecurity.

Android, Malware, Artificial Intelligence, Secuiry, Machine learning

"Study of Android-Malware Prediction using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.d233-d237, February-2024, Available :http://www.jetir.org/papers/JETIR2402328.pdf

"Study of Android-Malware Prediction using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppd233-d237, February-2024, Available at : http://www.jetir.org/papers/JETIR2402328.pdf