New Article: Malware Analysis: Machine Learning Approaches
by Chiheb Chebbi
Machine learning is obviously the hottest trend in the tech industry at the moment, thanks to the huge amount of data collected in many organizations. It is so powerful to make decisions and predictions, based on big data. Fraud detection, natural-language processing, self-driving cars and image recognition are a few examples of machine learning applications. Machine learning is a combination of statistics, computer science, linear algebra, and mathematical optimization methods.
Keywords: Malware, Machine Learning, Malware Analysis, Deep Learning
This article appears in the special edition „In Depth Security – Proceedings of the DeepSec Conferences Vol. 3“. Edited by Stefan Schumacher and René Pfeiffer
The Article can be found here.