Cognitive Models in Cybersecurity: Learning From Expert Analysts and Predicting Attacker Behavior

Cognitive Models in Cybersecurity: Learning From Expert Analysts and Predicting Attacker Behavior

Cybersecurity stands to benefit greatly from models able to generate predictions of attacker and defender behavior. On the defender side, there is promising research suggesting that Symbolic Deep Learning (SDL) may be employed to automatically construct cognitive models of expert behavior based on s...

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Bibliographic Details
Main Authors: Vladislav D. Veksler, Norbou Buchler, Claire G. LaFleur, Michael S. Yu, Christian Lebiere, Cleotilde Gonzalez
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Psychology
Subjects:
cyber-security
cognitive modeling
behavioral simulations
deep learning
reinforcement learning
decision support
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2020.01049/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyg.2020.01049/full

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