Generative Adversarial Networks from a Cyber Intelligence perspective

NATO Cooperative Cyber Defence Centre of Excellence (CCDCOE) has published a new report on Generative Adversarial Networks from a Cyber Intelligence perspective, which focuses on preliminary work addressing a wider project to produce a paper on the cyber intelligence uses of GAN.

Generative adversarial networks (GAN) are a hot topic in cyber intelligence, as they begin to demonstrate abilities that will assist the public intelligence analyst to play a more active role in global security. Not only can they help you sort through the vast OSINT sources of material to identify potential threats, but additional features are also now being demonstrated which will allow links to be drawn in real time between potential threats.

The work has two main focuses: to investigate different applications to assess the most interesting and promising in respect of cyber intelligence and to determine a framework to assess current examples of GAN that offer solutions relevant to cyber intelligence. To facilitate this, some questions need to be addressed: what is a GAN? what is cyber intelligence? how do the two interact? The focus of the project is to assess the potential use of GAN in the context of cyber intelligence, the unified kill chain model and how ready such technology is for deployment; both for legal uses and illegal.

This publication is a product of the NATO Cooperative Cyber Defence Centre of Excellence. It does not necessarily reflect the policy or the opinion of the Centre or NATO. The CCDCOE is a NATO-accredited cyber defence hub focusing on research, training and exercises. It represents a community of NATO nations and partners of the Alliance providing a 360-degree look at cyber defence, with expertise in the areas of technology, strategy, operations and law.