Intrusion Detection in Wireless Sensor Networks using Hybrid Deep Belief Networks and Harris Hawks Optimizer-Reference-Cited by-同舟云学术

Intrusion Detection in Wireless Sensor Networks using Hybrid Deep Belief Networks and Harris Hawks Optimizer

Published:2023-07-06 Issue: Volume: Page:
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Container-title:2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)
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Author:

Vikas ¹,Daund Ramesh Pandharinath²,Kumar Davinder³,Charan Piyush⁴,Ingilela Ravi Shireesh Kumar⁵,Rastogi Ravi⁶

Affiliation:

1. IIMT University, O-Pocket Ganganagar,School of Computer Science and Applications,Meerut,Uttar Pradesh,India

2. SND College of Engineering and Research Centre Yeola,Department of Computer Engineering,Maharashtra,India

3. Micron Technology,Hyderabad,Telangana,India

4. Manav Rachna University,Department of Electronics and Communication Engineering,Faridabad,Haryana,India

5. Audisankara College of Engineering and Technology,Department of CSE,Andhra Pradesh,India

6. NIELIT,Gorakhpur,Uttar Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192573/10192581/10193270.pdf?arnumber=10193270

Reference20 articles.

1. Integrating Software Engineering Processes in the Development of Efficient Intrusion Detection Systems in Wireless Sensor Networks

2. Hybrid Intrusion Detection System for Internet of Things (IoT)

3. Intrusion detection system using an optimized kernel extreme learning machine and efficient features Sa¯dhana;ghasemi,2020

4. Advances in Smart Environment Monitoring Systems Using IoT and Sensors

5. Applying adaptive and self-assessment fish migration optimization on localization of wireless sensor network on 3-D terrain;chai;Journal of Information Hiding and Multimedia Signal Processing,2020

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