The project aims at developing a model which accurately predicts the probability that an operating system (Windows for this project) will be hit by a malware. Its primary goal is malware vulnerability detection among many operating system versions and building a model which can accurately do the task at hand.
Presented at International conference on recent engineering and technology 2019 (ICRET) associated with IEEE and PSES.
Paper is published in Volume 15 Issue 3 June, ISSN No. 1553-9105. http://jof-cis.com/article/windows-based-malware-prediction-system-using-deep-learning-techniques/