Hidden Markov Model with Machine Learning-Based Black hole Attack Identification in Wireless Sensor Networks-Reference-Cited by-同舟云学术

Hidden Markov Model with Machine Learning-Based Black hole Attack Identification in Wireless Sensor Networks

Published:2023-01-27 Issue: Volume: Page:
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Container-title:2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
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Author:

Balasubadra K.¹,Shiny X.S.Asha²,P V Pramila³,Solainayagi P.⁴,Maniraj S P⁵

Affiliation:

1. R.M.D Engineering College,Department of Information Technology,Chennai,Tamil Nadu,India

2. Nalla Malla Reddy Engineering College (Autonomous Institution),Department of Computer Science and Engineering,Hyderabad,Telangana,India

3. Saveetha School of Engineering (SIMATS),Department of Computer Science Engineering,Chennai,Tamil Nadu,India

4. Aarupadai Veedu Institute of Technology,Department of Computer Science and Engineering,Paiyanoor,Tamil Nadu,India

5. SRM Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

Reference20 articles.

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2. Mitigation of Black Hole and Selective Forwarding Attacks through Active Trust Mechanisms in Wireless Sensor Networks;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2023-05-10