Mr. Johanathan King Profile

Johanathan King

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Proceedings Article | 7 June 2024 Presentation + Paper

The relevance, effectiveness, and future prospects of cyber deception implementation within organizations

Kaila Eng, John King, Carmen Schillaci, Atul Rawal

Proceedings Volume 13054, 130540M (2024) https://doi.org/10.1117/12.3013114

KEYWORDS: Information security, Network security, Machine learning, Computer security, Artificial intelligence, Cyberattacks

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Artificial Intelligence (AI) and Machine Learning (ML) based systems have seen tremendous progress in the past years. This unprecedent growth has also opened new challenges and vulnerabilities for keeping AI/ML based systems safe and secure. With a multitude of studies investigating adversarial machine learning (AML) and cyber security for AI/ML systems, there is a need for novel techniques and methodologies for securing these systems. Cyber security is often used as a blanket term meaning all defenses used in the context of cyber. This leaves out methodologies and techniques, being used more offensively, such as cyber deception. This study provides a comprehensive overview of cyber-deception for securing AI/ML systems including its relevance, effectiveness, and its potential for AI/ML assurance. The study provides an overview of behavioral sciences for cyber-deception, the benefits of using cyber deception, and the ethical concerns associated with cyber deception. Additionally, we present a use-case for the utilization of cyber deception with zero-trust architecture (ZTA) for assurance and security for AI/ML based systems.

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