Abnormal flow detection using Optimized ABFlow Network in SDN based Smart Grid Application-Reference-Cited by-同舟云学术

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Abnormal flow detection using Optimized ABFlow Network in SDN based Smart Grid Application

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 Third International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)
language:
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Author:

B Prasath¹,P Deepa²,K Kalaivani²,A Wasim Raja³,S Gokila⁴,V Narasimharaj⁵

Affiliation:

1. KPR Institute of Engineering and Technology,Department of Computer Science and Engineering,Coimbatore,India

2. SNS College of Engineering,Department of Computer Science and Engineering,Coimbatore,India

3. Nehru Institute of Engineering and Technology,Department of Computer Science and Engineering,Coimbatore,India

4. Karpagam Institute of Technology,Department of Information Technology,Coimbatore,India

5. Sri Krishna College of Engineering and Technology,Department of Mechatronics Engineering,Coimbatore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099469/10099487/10100108.pdf?arnumber=10100108

Reference25 articles.

1. HYBRID-CNN: An Efficient Scheme for Abnormal Flow Detection in the SDN-Based Smart Grid

2. A survey of deep learning-based network anomaly detection

3. ARIES: A Novel Multivariate Intrusion Detection System for Smart Grid

4. A Distributed Software Defined Networking Model to Improve the Scalability and Quality of Services for Flexible Green Energy Internet for Smart Grid Systems

5. Survey on SDN based network intrusion detection system using machine learning approaches

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