The lack of a rigorous and realistic assessment protocol for federated intrusion detection

The gap

Evidence profile

Sourced from the stated research gap and inline gaps of the source papers, classified as general, drawn from work published between 2024 and 2026, spanning 4 journals. Those papers have been cited 118 times in total.

Supporting evidence — 4 representative gaps

• Scenario-Aware Federated Intrusion Detection for V2X-Inspired Edge Security: Calibration, Heterogeneity, and Communication Analysis (2026) · Electronics · doi

  The lack of a rigorous and realistic assessment protocol for federated intrusion detection under scenario shift, client heterogeneity, threshold-sensitive operation, and communication constraints. The need for a federated learning-based approach that can address the challenges of privacy, deployment, and security in distributed edge environments.

  generalstated research gap
  Keywords: lack rigorous realistic assessment protocol federated intrusion detection
• FL-IDS: Federated Learning-Based Intrusion Detection System Using Edge Devices for Transportation IoT (2024) · IEEE Access · cited 118× · doi

  Li, ‘‘Federated learning for vehicular internet of things: Recent advances and open issues,’’ IEEE Open Journal of the Computer Society, vol. Gaur, ‘‘Cyber security and privacy of connected and automated vehicles (cavs)-based federated learn- ing: challenges, opportunities, and open issues,’’ Federated Learning for IoT Applications, pp. Gaur, ‘‘Cyber security and privacy of connected and automated vehicles (cavs)-based kks federated learning: Challenges, opportunities, and open issues.

  generalinline gapsevidence 5/5
  Keywords: federated open learning issues gaur cyber security privacy connected automated vehicles cavs based challenges opportunities
• Unfederated: Open Challenges, Deployment Gaps, and Emerging Directions in Federated Learning (2026) · Archives of Computational Methods in Engineering · doi

  Niknam S, Dhillon HS, Reed JH (2020) Federated learning for wireless communications: motivation, opportunities, and 1 3Unfederated: Open Challenges, Deployment Gaps, and Emerging Directions in Federated Learningchallenges. 33 90/s2 3177358 1 3Unfederated: Open Challenges, Deployment Gaps, and Emerging Directions in Federated Learning82. Li X, Peng L, Wang Y-P, Zhang W (2025) Open challenges and opportunities in federated foundation models towards biomedical healthcare. 1 3Unfederated: Open Challenges, Deployment Gaps, and Emerging Directions in Federated Learning

  generalinline gapsevidence 5/5
  Keywords: federated challenges learning open unfederated deployment gaps emerging directions opportunities niknam dhillon reed wireless communications
• A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications (2026) · Scientific Reports · doi

  The lack of a comprehensive assessment of the viability of consensus-based learning as a cost-effective and sustainable alternative to federated learning. The need for a benchmark of the accuracy, cost-effectiveness, and sustainability of FL and CBL methods in medical data analysis scenarios. The limited understanding of the performance of CBL and FL in real-world medical applications.

  generalstated research gapevidence 5/5
  Keywords: lack comprehensive assessment viability consensus-based learning cost-effective sustainable

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