Adaptive Taylor-Sail Fish Optimization based deep Learning for Detection of Black Hole and Sybil Attack in Wireless Sensor Network-Reference-Cited by-同舟云学术

Adaptive Taylor-Sail Fish Optimization based deep Learning for Detection of Black Hole and Sybil Attack in Wireless Sensor Network

Published:2023-03-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
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Author:

Kumar Mandeep¹,Ali Jahid²

Affiliation:

1. I.K. Gujral Punjab Technical University Jalandhar - Kapurthala Highway, VPO - Ibban,Computer Science & Engineering,Kapurthala,144603

2. Sri Sai Iqbal College of Management and Information Technology, V.P.O Badhani, Tehsil & Dist,Computer Applications,Pathankot,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10104520/10104522/10104946.pdf?arnumber=10104946

Reference19 articles.

1. The Selective Forwarding Attack in Sensor Networks: Detections and Countermeasures

2. Taylor series prediction of time series data with error propagated by artificial neural network;mangai;International Journal of Computer Applications,2014

3. A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnosis

4. Detection and prevention of black hole and selective forwarding attack in clustered WSN with Active Trust

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