Leveraging automated planning has been shown to be advantageous for automating network penetration testing, providing a foundation to generate intelligent approaches to attacking a target system. Unfortunately, this same technology has the potential to be abused by actual attackers, presenting a challenge to defenders. In this paper, we investigate how we can leverage ideas from the deception community to reduce the automated planning capacity of an actual attacker. Our extensive experimental analysis sheds some light on the susceptibility of planning-based attackers to knowledge modifications, potentially yielding to new insights on future techniques for cyber defense.
|Number of pages||6|
|Journal||Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS|
|Publication status||Published - 4 May 2022|
|Event||35th International FLAIRS Conference: The Florida Artificial Intelligence Research Society Conference - Hutchinson Island, United States|
Duration: 15 May 2022 → 18 May 2022
Conference number: 35