Advancing IoT security: a comprehensive AI-based trust framework for intrusion detection

Author:

Kaliappan Chandra Prabha,Palaniappan Kanmani,Ananthavadivel Devipriya,Subramanian Ushasukhanya

Publisher

Springer Science and Business Media LLC

Reference41 articles.

1. Kumar R, Kumar P, Tripathi R, Gupta GP, Garg S, Hassan MM (2022) A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network. J Parallel Distrib Comput 164:55–68

2. Shilpa V, Vidya A, Pattar S (2022) MQTT based secure transport layer communication for mutual authentication in IoT network. Glob Transit Proc 3(1):60–66

3. Bhardwaj A, Tyagi R, Sharma N, Khare A, Punia MS, Garg VK (2022) Network intrusion detection in software defined networking with self-organized constraint-based intelligent learning framework. Meas: Sensors 24:100580

4. Bhayo J, Shah SA, Hameed S, Ahmed A, Nasir J, Draheim D (2023) Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks. Eng Appl Artif Intell 123:106432

5. Alotaibi A, Barnawi A (2023) IDSoft: A federated and softwarized intrusion detection framework for massive internet of things in 6G network. J King Saud Univ-Comput Inf Sci 35(6):101575

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