An optimized deep strategy for recognition and alleviation of DDoS attack in SD-IoT-Reference-Cited by-同舟云学术

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An optimized deep strategy for recognition and alleviation of DDoS attack in SD-IoT

Published:2024-06-17 Issue: Volume: Page:1-32
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Kumbhar Kalpana¹²,Mukherji Prachi¹³

Affiliation:

1. Electronics and Telecommunication Department, Vishwakarma Institute of information Technology, Pune, Maharashtra, India

2. Electronics and Telecommunication Department, MKSSS’s Cummins college of engineering for Women, Pune, Maharashtra, India

3. Electronics and Telecommunication Department, MKSSS’s Cummins College of Engineering, Pune, Maharashtra, India

Funder

the work featured in this article

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2024.2356852

Reference31 articles.

1. RESTful web services for service provisioning in next-generation networks: a survey

2. An Efficient Counter-Based DDoS Attack Detection Framework Leveraging Software Defined IoT (SD-IoT)

3. Distributed denial of service (DDoS) attack mitigation in software defined network (SDN)-based cloud computing environment

4. BoT-IoT dataset taken from [accessed 2021 Mar]. https://www.impactcybertrust.org/dataset_view?idDataset=129.

5. Erik G. 2013. Entropy and Mutual Information. Amherst: Department of Computer Science, University of Massachusetts.

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