Supply Chain Intro and Table of Contents Supply Chain August 2026 | Page 76

Evolvable Multi-Agent Hierarchical Architecture for Contested Logistics Ecosystems
7.5 THREAT MODEL FOR CONTESTED LOGISTICS ECOSYSTEMS
Table 7-1 maps threat types to current architectural mitigations and additional required capabilities, providing a practical reference for assessing coverage against realistic contested environment risks.
Threat Type
Example
Current Mitigation
Additional Capability
Required
Missing data
Sensor outage
Confidence scoring
Existing approach
sufficient
Delayed data
Network degradation
Provenance tracking
Existing approach
sufficient
Incorrect data( error)
Data-entry mistake
Quality checks
Existing approach
sufficient
Malicious data
Falsified inventory reports
Adversarial validation [ 13 ]
Continuous anomaly monitoring
Compromised agent Rogue planning agent Zero-trust authentication
[ 14 ]; trust monitoring
Formal verification methods
Strategic manipulation
Supplier withholding capacity data
Reputation and evolving trust scoring
Incentive-aware coordination mechanisms
Coordinated deception
Multiple actors colluding to distort demand signals
Multi-source contradiction analysis [ 13 ]
Cross-organisational audit capabilities
Insider threat
Compromised operator manipulating approvals
Human-in-loop governance; zero-trust access control [ 14 ]
Table 7-2: Threat model mapping for contested logistics ecosystems
Separation of duties; behavioural monitoring
8 LIMITATIONS AND FUTURE WORK
While the evolvable multi-agent hierarchical architecture offers a robust blueprint for resilient and adaptive logistics ecosystems, several limitations merit acknowledgement. These do not undermine the contribution of the work; rather, they clarify its scope and identify opportunities for further research and practice.
8.1 SCOPE AND GENERALISABILITY
The illustrative use case is intentionally abstracted due to the sensitivity of the operational context, limiting direct quantitative comparison. While the architecture is designed for broad
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