• Anu Malik
• Harshita Kamboj
• Sarvendra Kumar

Android overlay enables one app to draw over other apps by creating an extra View layer atop the host View, which nevertheless can be exploited by malicious apps (malware) to attack users. To combat this threat, prior countermeasures concentrate on restricting the capabilities of overlays at the OS level while sacrificing overlays usability; recently, the overlay mechanism has been substantially updated to prevent a variety of attacks, which however can still be evaded by considerable adversaries. Malware remains a big threat to cyber security, calling for machine learning based malware detection. While promising, such detectors are known to be vulnerable to evasion attacks. This paper presents survey of android malware prediction using artificial intelligence techniques.

Android, Malware, Artificial Intelligence, Secuiry, Attack, Cyber

"Survey of Android Malware Prediction using Artificial Intelligence Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.b722-b725, June-2022, Available :http://www.jetir.org/papers/JETIR2206195.pdf

"Survey of Android Malware Prediction using Artificial Intelligence Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppb722-b725, June-2022, Available at : http://www.jetir.org/papers/JETIR2206195.pdf