SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals

Experience SANS training through course previews.
Learn MoreLet us help.
Contact usBecome a member for instant access to our free resources.
Sign UpWe're here to help.
Contact UsRansomware poses an ever-increasing threat to businesses and organizations as it continues to evolve and change. Many organizations are forced to pay for solutions to this growing problem with expensive and out-of-date signature-based solutions. As the possibility looms for ransomware to impact all operating systems and businesses alike, organizations will need to focus on early detections and warnings to stay ahead of its spread. This paper aims to examine the probability of detecting ransomware throughout its lifecycle within Linux environments. In conjunction with detections, the ultimate goal of the ideas presented is to provide security teams with a more reliable and cost-effective method to detect, react, and neutralize Linux ransomware variants.