• Sheikh Shahid Nazir
• Navneet kaur

Mobile Phones are replaced by smart phones recurrently with most of the smart phones having Android applications running on them. Smart phones are used by the users for two types of functions. Firstly, the Android applications on the smart phones are integrated for individual use i.e. to obtain pictures, contacts, emails and other agendas. Secondly, the very same device is also subjugated to retrieve the IT infrastructure of an organization. The latter is implemented for policies like Bring Your Own Device. In the same scenario, there is an increase in the number of malwares attacking these devices The present mobile market, Android is the most well-known stand for smart phones, the market expansion rate is rising slowly but surely and it is now at 84.7%.With the speedy expansion of mobile computing technology, tablets and smart phones have evolved classy functions at minor costs. While, other platforms like iOS users permit to install applications only through iTunes, Android allows many open sources, such as Torrents, Google play store, Direct downloads, or Third-party markets, etc.(Handa, 2015) This sovereignty makes allocation of applications and bundling of malware an easy task for attackers (Xialoeiwang, 2015) who try to entice the users into running malicious code. Malicious payloads are used in repackaging popular apps (Hiranwal, 2013). Privacy breaches (e.g., GPS coordinates and access to address book), monetization through premium calls and SMS, other dangerous malicious attacks have become real threats.

Android malware detection, malware detection techniques, Machine learning classifiers.

"malware detection in android smart phones using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.538-543, June-2019, Available :http://www.jetir.org/papers/JETIR1906856.pdf

"malware detection in android smart phones using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp538-543, June-2019, Available at : http://www.jetir.org/papers/JETIR1906856.pdf