A Methodological Approach to Weaponizing Machine Learning
Chuck Easttom · 2019
The current literature is replete with studies involving the use of machine learning algorithms for defensive security implementations. For example, machine learning has been utilized to enhance antivirus software and intrusion detection systems. The use of machine learning in defensive cybersecurity operations is well documented. However, there is a substantial gap in the literature on the offensive use of machine learning. Particularly, use of machine learning algorithms to enhance cyber warfare operations. Cyber components to modern conflicts, whether those conflicts are cyber or kinetic warfare, are a fact of the modern international political landscape. It is a natural progression to explore applications of machine learning to cyber warfare, particularly weaponized malware.