An efficient intrusion detection system for MQTT-IoT using enhanced chaotic salp swarm algorithm and LightGBM

Author:

Prajisha C.ORCID,Vasudevan A. R.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software

Reference46 articles.

1. Li, S., Li, X., Zhao, S.: The internet of things: a survey. Inf. Syst. Front. 17, 04 (2014)

2. Nebbione, G., Calzarossa, M.C.: Security of IoT application layer protocols: challenges and findings. Futur. Internet 12(3), 55 (2020)

3. Ajdani, M., Ghaffary, H.: Introduced a new method for enhancement of intrusion detection with random forest and pso algorithm. Securi. Priv. 4, 01 (2021)

4. Chen, F., Ye, Z., Wang, C., Yan, L., Wang, R.: A feature selection approach for network intrusion detection based on tree-seed algorithm and k-nearest neighbor. 68–72 (2018)

5. Panda, M., Patra, M.: Network intrusion detection using naive bayes. 7, 12 (2007)

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