A Deployment-Aware Feasibility Framework for Machine Learning-Based IoT Intrusion Detection Across Edge, Fog, and Cloud Architectures

cs.CR

Submitted: 2026-10-06

Updated: 2026-10-06

Comments: 8 pages, 3 figures, 7 tables. Published in the 2026 IEEE 15th International Conference on Communication Systems and Network Technologies (CSNT)

Journal ref: 2026 IEEE 15th International Conference on Communication Systems and Network Technologies (CSNT), pp. 959-966, 2026

DOI: 10.1109/CSNT69054.2026.11502111

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Intrusion Detection on Resource-Constrained IoT Devices with Hardware-Aware ML and DL

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