Computer Security and Machine Learning: Worst Enemies or Best Friends?
Source: Technische Universität Berlin
Computer systems linked to the Internet are confronted with a plethora of security threats, ranging from classic computer worms to involved drive-by downloads and bot networks. In the last years these threats have reached a new quality of automatization and sophistication, rendering most defenses ineffective. Conventional security measures that rely on the manual analysis of security incidents and attack development inherently fail to provide a timely protection from these threats. As a consequence, computer systems often remain unprotected over longer periods of time. The field of machine learning has been considered an ideal match for this problem, as learning methods provide the ability to automatically analyze data and support early detection of threats.