Towards a cognitive theory of cyber deception

EA Cranford, C Gonzalez, P Aggarwal… - Cognitive …, 2021 - Wiley Online Library
This work is an initial step toward develo** a cognitive theory of cyber deception. While
widely studied, the psychology of deception has largely focused on physical cues of …

[HTML][HTML] Designing effective masking strategies for cyberdefense through human experimentation and cognitive models

P Aggarwal, O Thakoor, S Jabbari, EA Cranford… - Computers & …, 2022 - Elsevier
Masking strategies for cyberdefense (ie, disguising network attributes to hide the real state of
the network) are predicted to be effective in simulated experiments. However, it is unclear …

Provable space discretization based evolutionary search for scalable multi-objective security games

H Qian, YP Wu, RJ Qin, X An, Y Chen… - Swarm and Evolutionary …, 2025 - Elsevier
In the field of security, multi-objective security games (MOSGs) allow defenders to
simultaneously protect targets from multiple heterogeneous attackers. MOSGs aim to …

[PDF][PDF] Adaptive cyber deception: Cognitively informed signaling for cyber defense

E Cranford, C Gonzalez, P Aggarwal, S Cooney… - 2020 - scholarspace.manoa.hawaii.edu
This paper improves upon recent game-theoretic deceptive signaling schemes for cyber
defense using the insights emerging from a cognitive model of human cognition. One …

Adaptive cyberdefense with deception: A human–ai cognitive approach

C Gonzalez, P Aggarwal, EA Cranford… - … , Strategies, and Human …, 2022 - Springer
Achieving a level of dynamic and adaptive autonomy in cyber defense is highly desirable to
advance the capabilities of cyber defense to a whole new level of effectiveness. In such a …

[PDF][PDF] Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games.

K Wang, A Perrault, A Mate, M Tambe - AAMAS, 2020 - network-games-muri.engin.umich …
Many real-world security problems present the challenge of how to allocate limited
resources to large number of important targets, including infrastructure [14], transportation …

To signal or not to signal: Exploiting uncertain real-time information in signaling games for security and sustainability

E Bondi, H Oh, H Xu, F Fang, B Dilkina… - Proceedings of the AAAI …, 2020 - ojs.aaai.org
Motivated by real-world deployment of drones for conservation, this paper advances the
state-of-the-art in security games with signaling. The well-known defender-attacker security …

Learning to defend by attacking (and vice-versa): Transfer of learning in cybersecurity games

T Malloy, C Gonzalez - 2023 IEEE European Symposium on …, 2023 - ieeexplore.ieee.org
Designing cyber defense systems to account for cognitive biases in human decision making
has demonstrated significant success in improving performance against human attackers …

Cognitive modeling for personalized, adaptive signaling for cyber deception

C Lebiere, EA Cranford, P Aggarwal, S Cooney… - … , Strategies, and Human …, 2023 - Springer
This chapter presents an overview of the use of cognitive models for personalized adaptive
signaling for cyber deception. It provides a general introduction to cognitive modeling …

Exploiting bounded rationality in risk-based cyber camouflage games

O Thakoor, S Jabbari, P Aggarwal, C Gonzalez… - Decision and Game …, 2020 - Springer
Recent works have growingly shown that Cyber deception can effectively impede the
reconnaissance efforts of intelligent cyber attackers. Recently proposed models to optimize …