Detection of cyber attacks in network using machine learning techniques

Abstract

The development of effective techniques has been an urgent demand in the field of the cyber security community. Machine learning for cyber security has become an issue of great importance recently due to the effectiveness of machine learning in cyber security issues. This is typically accomplished by automatically collecting information from a variety of systems and network sources, and then analysing the information for possible security problems. Our main goal is that the task of finding attacks is fundamentally different from these other applications, making it significantly harder for the intrusion detection community to employ machine learning effectively.