A Non-intrusive Machine Learning Solution for Malware Detection and Data Theft Classification in Smartphones
Published in 21st International Conference on Computational Science (ICCS 2021) Kraḱow, Poland, 2021
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://saivishy.github.io/files/paper1.pdf
Lead a team towards condensing one of the largest datasets (10 billion+ records) for malware classification in smartphones to 0.1% of its feature set whilst retaining threshold accuracy reported by competing data intensive methods through efficient data preprocessing and online learning.
Recommended citation: Your Name, You. (2009). “Paper Title Number 1.” Journal 1. 1(1).