Spyware detection and prevention using deep learning AI for user applications

ISSN: 22773878
Citations of this article
Mendeley users who have this article in their library.


A user application (Smartphone or personal computer’s) play’s an essential role in our daily life. As usage of smartphones and PC’s keeps on increases, every day in one life, each and everyone uses to do every task in their daily life using smartphone or PCs to access, develop, store data’s. By using this everyone access the data over the internet, the user’s sensitive data’s were shared during the payment process, private messages online, and using their personal data to access the resource to study etc. There is the possibility of occurring attacks to this user sensitive data’s. Weakness on the construction of user application will allow the hacker or attacker to steal user information. Spyware is one type of attack that steel user sensitive information without user knowledge. The proposal states that the method and technique used to detect and prevent the user application from malicious attack using deep learning AI (Artificial intelligence).




Mahesh, V., & Sumithra Devi, K. A. (2019). Spyware detection and prevention using deep learning AI for user applications. International Journal of Recent Technology and Engineering, 7(5), 345–349.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free