Deep Learning Model for Intrusion Detection in SDN Networks-Reference-Cited by-同舟云学术

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Deep Learning Model for Intrusion Detection in SDN Networks

Published:2023-12-07 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 1st International Conference on Optimization Techniques for Learning (ICOTL)
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Author:

Jyothsna V.¹,Sandhya E.²,Swetha Thammisetty³,Lokesh Kumar Reddy P.⁴,Jyothsna B.⁵,Bhasha P.⁶

Affiliation:

1. Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),Dept. of Data Science,Tirupati,India

2. Madanapalle Institute of Technology & Science,Department of CSE(Artificial Intelligence),Madanapalle,India

3. Madanapalle Institute of Technology & Science,Department of CSE (Data Science),Madanapalle,India

4. Sri Venkateswara College of Engineering (Autonomous),Tirupati

5. Viswam Engineering College,Department of CSE,Madanapalle

6. Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),Department of Data Science,Tirupati,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434936/10434955/10435198.pdf?arnumber=10435198

Reference19 articles.

1. Are we ready for SDN? Implementation challenges for software-defined networks

2. Chimera: A declarative language for streaming network traffic analysis;Borders

3. Kargus

4. vNIDS

5. Haetae: Scaling the Performance of Network Intrusion Detection with Many-Core Processors

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