Adaptive Defence of the Internet of Things (IoT) using the Belief-Desire-Intention (BDI) Model for Social Robots Rafferty, Laura Macdermott, Aine 2023-12-26T18:37:32Z 2023-12-26T18:37:32Z 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 932de1c8-8dd9-45e1-8e77-dd6e134ffc6d
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Social Robots - Robotics and Toy Computing
dc.subject belief generation
dc.subject cybersecurity
dc.subject internet of things
dc.subject network defence
dc.subject social robots.
dc.title Adaptive Defence of the Internet of Things (IoT) using the Belief-Desire-Intention (BDI) Model for Social Robots
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract The Internet of Things (IoT) continues to introduce unique challenges and threats to cybersecurity. In parallel, adaptive and autonomous cyber defence has become an emerging research topic leveraging Artificial Intelligence (AI) for cybersecurity solutions that can learn to recognize, mitigate, and respond to cyber-attacks, and evolve over time as the threat surface continues to increase in complexity. This paradigm presents an environment strongly conducive to agent-based systems, which offer a model for autonomous, cooperative, goal-oriented behaviours which can be applied to perform adaptive cyber defence activities. This paper presents a modular applied framework to leverage data models, domain knowledge, and multi-agent architecture to perform adaptive cyber defence capabilities through contextual policy generation and enforcement. The Belief-Desire-Intention (BDI) model is extended for behavioural modeling of agents to perform practical reasoning and deliberation of actions in pursuit of goals.
dcterms.extent 10 pages
prism.startingpage 1722
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