2020 12th International Conference on Cyber Conflict Permission to make digital or hard copies of this publication for internal use within NATO and for personal or educational use when for non-profit or 20/20 Vision: The Next Decade non-commercial purposes is granted providing that copies bear this notice T. Jančárková, L. Lindström, and a full citation on the first page. Any other reproduction or transmission M. Signoretti, I. Tolga, G. Visky (Eds.) requires prior written permission by NATOCCD COE. 2020 © NATO CCDCOE Publications, Tallinn The Next Generation of Cyber-Enabled Information Warfare Kim Hartmann Keir Giles Conflict Studies Research Centre Conflict Studies Research Centre
[email protected] [email protected] Abstract: Malign influence campaigns leveraging cyber capabilities have caused significant political disruption in the United States and elsewhere; but the next generation of campaigns could be considerably more damaging as a result of the widespread use of machine learning. Current methods for successfully waging these campaigns depend on labour-intensive human interaction with targets. The introduction of machine learning, and potentially artificial intelligence (AI), will vastly enhance capabilities for automating the reaching of mass audiences with tailored and plausible content. Consequently, they will render malicious actors even more powerful. Tools for making use of machine learning in information operations are developing at an extraordinarily rapid pace, and are becoming rapidly more available and affordable for a much wider variety of users. Until early 2018 it was assumed that the utilisation of AI methods by cyber criminals was not to be expected soon, because those methods rely on vast datasets, correspondingly vast computational power, or both, and demanded highly specialised skills and knowledge.