An Evaluation of Randomized Routing Strategies for Deception in Mobile Networked Control Systems
Abstract
Networked unmanned autonomous systems will increasingly be employed to support ground force operations. Approaches to collaborative control can find near-optimal position recommendations that optimize over system parameters such as sensing and communication to increase mission effectiveness. However, over time these recommendations can create predictable paths that may provide leading indications of the forces operational intent. We assume that the adversary's goal is to identify a ground forces operational intent. Using randomized routing strategies to generate deception plans for unmanned systems against the adversary, this red methodology has the potential to change many aspects of military operational planning, including operational and strategic level planning and wargaming. This topic builds on research from L. Wigington in 2021, which developed an adversarial assessment of unmanned mobile networked control systems. From that and based on prior research, this thesis applies and potentially extends prior methodologies to analyzing adversarial behaviors and manipulating their behaviors to NCS using randomized routing strategies.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2023
- Accession Number
- AD1212978
Entities
People
- Kyle E. Plunkett
Organizations
- Naval Postgraduate School