A model for intrusion detection system using hidden Markov and variational Bayesian model for IoT based wireless sensor network

Author:

Kalnoor GauriORCID,Gowrishankar S.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Reference24 articles.

1. Xu F, Ye H, Yang F, Zhao C (2019) Software defined mission-critical wireless sensor network: architecture and edge offloading strategy. IEEE Access 7:10383–10391

2. Titouna C, Naït-Abdesselam F, Khokhar A (2019) DODS: a distributed outlier detection scheme for wireless sensor networks. Comput Netw 161:93–101

3. Wang J, Gao Y, Liu W, Sangaiah AK, Kim HJ (2019) An improved routing schema with special clustering using PSO algorithm for heterogeneous wireless sensor network. Sensors 671–688

4. Sharma S, Gupta RK (2015) Intrusion detection system: a review. Int J Secur Appl 9(5):69–76

5. Afolorunso AA, Adewole AP, Abass O, Longe HOD (2016) Kullback–Liebler divergence for reducing the observable states space of hidden Markov model for predicting distributed denial of service attack. In: 11th Unilag conference and fair, 2016, Lagos, Nigeria, Proceedings, pp 184–193

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