CAPD: A Context-Aware, Policy-Driven Framework for Secure and Resilient IoBT Operations
Sai Sree Laya Chukkapalli, Anupam Joshi, Tim Finin, Robert F. Erbacher

TL;DR
CAPD introduces a context-aware, policy-driven framework with an ontology-based reasoning system to enhance security, resilience, and situational awareness in IoBT operations amid adversarial threats.
Contribution
This work presents a novel ontology-based framework that enables secure, resilient, and context-aware information sharing and reasoning in IoBT environments.
Findings
Effective detection and mitigation of adversary actions.
Enhanced situational awareness through semantic reasoning.
Adaptive data transmission based on attack scenarios.
Abstract
The Internet of Battlefield Things (IoBT) will advance the operational effectiveness of infantry units. However, this requires autonomous assets such as sensors, drones, combat equipment, and uncrewed vehicles to collaborate, securely share information, and be resilient to adversary attacks in contested multi-domain operations. CAPD addresses this problem by providing a context-aware, policy-driven framework supporting data and knowledge exchange among autonomous entities in a battlespace. We propose an IoBT ontology that facilitates controlled information sharing to enable semantic interoperability between systems. Its key contributions include providing a knowledge graph with a shared semantic schema, integration with background knowledge, efficient mechanisms for enforcing data consistency and drawing inferences, and supporting attribute-based access control. The sensors in the IoBT…
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Taxonomy
TopicsAdversarial Robustness in Machine Learning · Access Control and Trust · Advanced Graph Neural Networks
MethodsOntology
