Detection of distributed denial of service attack in cloud computing using the optimization-based deep networks-Reference-Cited by-同舟云学术

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Detection of distributed denial of service attack in cloud computing using the optimization-based deep networks

Published:2020-04-15 Issue: Volume: Page:1-20
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Velliangiri S.¹^ORCID,Karthikeyan P.²^ORCID,Vinoth Kumar V.³

Affiliation:

1. Department of Computer Science & Engineering, CMR Institute of Technology, Hyderabad, India

2. Department of Computer Science & Engineering, Presidency University, Bangalore, India

3. Department of Computer Science & Engineering, MVJ College of Engineering, Bangalore, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2020.1744196

Reference26 articles.

1. Secure design for cloud control system against distributed denial of service attack

2. Meridian: an SDN platform for cloud network services

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

4. Intelligent approach to build a Deep Neural Network based IDS for cloud environment using combination of machine learning algorithms

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1. A DoS attack detection method based on adversarial neural network;PeerJ Computer Science;2024-08-09

2. Enhancing mobile data security using red panda optimized approach with chaotic fuzzy encryption in mobile cloud computing;Concurrency and Computation: Practice and Experience;2024-07-30

3. DDoS Attack Detection Using Optimized Long Short-Term Based on Partial Opposition-Based Swarm Intelligence Algorithm;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

4. Deep Learning Method for Detecting and Mitigating Distributed Denial of Service Attacks with Imbalanced Data;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23

5. Time‐based DDoS attack detection through hybrid LSTM‐CNN model architectures: An investigation of many‐to‐one and many‐to‐many approaches;Concurrency and Computation: Practice and Experience;2024-02-14

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