Adaptive Defence of the Internet of Things (IoT) using the Belief-Desire-Intention (BDI) Model for Social Robots

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.