Communication Graph Vulnerability to Malicious Agents

Validate core concepts (LRC, SGC, CAML) in a controlled simulation environment and establish baseline metrics.

Steps

• Literature & Threat Model Consolidation(4 wks)
  Synthesize existing graph‑robustness, consensus, and attack‑detection literature into a unified threat model.
• Simulation Framework Development(6 wks)
  Build a scalable MAS simulator (Python/ROS2) with configurable graph topologies, attack primitives, and metric collection.
• Local Robustness Metric Formalization(4 wks)
  Define the LRC scoring function, certificate format, and threshold logic; prove local‑degree bounds for resilience.
• Zero‑Trust MQTT Prototype(4 wks)
  Implement signed MQTT broker and per‑agent key store; test message integrity under simulated spoofing.

Milestones

Risks

• Inaccurate threat model leads to overlooked attack vectors
• Simulation performance bottlenecks on large graphs

Implement and evaluate the Local Robustness Certification and Secure Graph‑Aware Consensus modules in a mixed‑hardware testbed.

Steps

• Embedded LRC Engine(6 wks)
  Port LRC computation to ARM Cortex‑M4 with 2‑bit certificate generation.
• Trust Score Derivation(4 wks)
  Map LRC certificates to weighted trust scores; integrate with SGC consensus logic.
• Consensus Stress Tests(6 wks)
  Run W‑MSR vs SGC under varying F, link loss, and spoofing scenarios; collect convergence metrics.
• Performance Profiling(4 wks)
  Measure CPU, memory, and latency overhead on edge devices; optimize for 10% overhead target.

Milestones

Risks

• Trust score mapping may not reflect real‑world adversarial behavior
• Edge device resource constraints could invalidate performance targets

Dependencies

• Phase 1 Baseline Simulation Engine
• Phase 1 LRC Proof‑of‑Concept

Combine CAML, ROGE, and submodular optimization into a cohesive, self‑healing MAS stack and validate against advanced attack scenarios.

Steps

• CAML Anomaly Detector(6 wks)
  Implement burst‑detection logic on message streams; trigger topology re‑segmentation via soft‑switches.
• ROGE Edge Reconfiguration Engine(8 wks)
  Develop submodular‑based edge addition/removal policy; integrate with LRC thresholds.
• Graph‑Adaptive GNN Filter(6 wks)
  Train lightweight GNN to adjust influence radius in real time; embed in CAML pipeline.
• End‑to‑End Attack Campaigns(8 wks)
  Simulate coordinated multi‑hop poisoning, DoS, and identity spoofing; measure containment time and consensus integrity.

Milestones

Risks

• Submodular optimization may not converge quickly on large graphs
• GNN inference latency could exceed real‑time constraints

Dependencies

• Phase 2 SGC Convergence Proof
• Phase 2 LRC Engine on Edge

Deploy the full defense stack on a real‑world edge network (e.g., industrial IoT or autonomous vehicle swarm) and collect operational data.

Steps

• Pilot Site Selection(2 wks)
  Identify a partner organization with a heterogeneous MAS deployment; secure data‑sharing agreements.
• Field Installation(4 wks)
  Install firmware, MQTT broker, and monitoring dashboards on 50+ devices; configure zero‑trust certificates.
• Operational Monitoring(6 wks)
  Run continuous monitoring for 30 days; log performance, attack incidents, and recovery actions.
• Post‑Pilot Analysis(4 wks)
  Validate TRL‑6 metrics: resilience, latency, scalability; produce compliance report.

Milestones

Risks

• Unforeseen hardware incompatibilities
• Partner organization’s security policies may delay deployment

Dependencies

• Phase 3 Self‑Healing Topology
• Phase 3 Containment Efficacy

Scale the solution to enterprise‑grade deployments, establish automated update pipelines, and embed continuous learning for evolving threats.

Steps

• Scalable Architecture Design(4 wks)
  Architect multi‑tenant MQTT broker cluster, secure element provisioning, and policy engine.
• Automated OTA & Policy Updates(4 wks)
  Implement secure over‑the‑air update mechanism and dynamic policy distribution.
• Continuous Threat Intelligence Loop(4 wks)
  Integrate external threat feeds to retrain GNN filter and adjust submodular thresholds.
• Final TRL‑7 Certification(4 wks)
  Prepare documentation for formal certification and publish open‑source reference implementation.

Milestones

Risks

• Scaling bottlenecks in broker cluster
• OTA rollback complications in mission‑critical systems

Dependencies

• Phase 4 Field Acceptance
• Phase 4 TRL‑6 Validation Report