Autonomy-Aware Trust Modeling in Heterogeneous IoBT - Teams
| Title | Autonomy-Aware Trust Modeling in Heterogeneous IoBT - Teams |
|---|---|
| Summary | Develop and evaluate a trust model that dynamically weights behavioral indicators based on agents' autonomy levels (Response Demand, Response Production, Response Selection). |
| Keywords | |
| TimeFrame | |
| References | 1. Fernandes, R., Hieb, M. R., & Costa, P. C. “Levels of Autonomy: Command and Control of Hybrid Forces”, 21st ICCRTS, 2016.
2. Dunin-Keplicz, B., & Verbrugge, R. “Teamwork in Multi-agent Systems: A formal approach”, John Wiley & Sons, 2011. 3. Alberts, D. S. “The Agility Advantage: A Survival Guide for Complex Enterprises and Endeavors”, CCRP Publication Series, 2011. |
| Prerequisites | |
| Author | |
| Supervisor | EDISON PIGNATON DE FREITAS |
| Level | Master |
| Status | Open |
Goals
Develop and evaluate a trust model that dynamically weights behavioral indicators based on agents' autonomy levels (Response Demand, Response Production, Response Selection).
Dynamic Trust Weighting
Trust model dynamically adjusts behavioral indicators based on agent autonomy levels to improve accuracy.
Simulation and Testing
Simulation environment tests heterogeneous agents under various autonomy configurations for model validation.
Model Evaluation Criteria
Success measured by accuracy in detecting compromised agents and robustness in network partitions.
Project Deliverables
Includes trust model specification, simulation setup, evaluation report, and thesis documentation.
Main Tasks: Task 1: Literature review on trust modeling and HyCCo autonomy levels; define agent profiles. Task 2: Design autonomy-aware trust metrics and behavioral indicators. Task 3: Implement simulation environment with heterogeneous agents. Task 4: Integrate trust model into simulation; run initial tests. Task 5: Evaluate trust accuracy under different autonomy configurations. Task 6: Finalize documentation and prepare thesis defense.
Deliverables (Besides the final thesis document) - Trust model specification - Simulation environment with agent profiles - Evaluation report on trust accuracy
Evaluation Criteria: - Accuracy in detecting compromised agents across autonomy levels - Robustness under simulated network partitions - Clarity and adaptability of trust metrics
