A Goal-Driven Approach to Support Decision-Making with Incomplete Information in Cyber Operations
Date
2023
Authors
Dawoud, A.
Mahala, G.
Islam, C.
Mayer, W.
Ghose, A.
Babar, M.A.
Stumptner, M.
Grossmann, G.
Editors
Cabanillas, C.
Pérez, F.
Pérez, F.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Book chapter
Citation
Intelligent Information Systems, 2023 / Cabanillas, C., Pérez, F. (ed./s), vol.477 LNBIP, Ch.10, pp.77-85
Statement of Responsibility
Conference Name
Abstract
Semi-autonomous cyber security (“cyber") operations require effective communication between a human operator and the underlying cyber systems that carry out the mission. We show a goal-driven approach to specifying mission objectives of such systems, where the system has controlled autonomy to refine the goals into executable plans. An ontology aligns goal decomposition and data representation with human-level concepts, and probabilistic extensions of Belief-Desire-Intention (BDI) agent architectures allow dealing with uncertainty about the agent’s state and the effects of its actions. Our framework effectively automates parts of cyber operations while conveying the state of operations to a human operator. A case study from the cyber operations domain demonstrates that this approach can outperform the traditional BDI agent approach while requiring minimal additional information by the agent programmer.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG