A Survey on Cyber Attack Detection: Techniques, Datasets, and Challenge-Reference-Cited by-同舟云学术

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A Survey on Cyber Attack Detection: Techniques, Datasets, and Challenge

Published:2023-11-01 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
language:
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Author:

Geetha G¹,Rajagopal Manjula²,Purna Chand K³

Affiliation:

1. SRM Institute of Science and Technology,School of Computing (Research Scholor),Department of Computing Technologies,Kattankulathur,Tamilnadu

2. SRM Institute of Science and Technology,School of Computing (Assistant Professor),Department of Computing Technologies,Kattankulathur,Tamilnadu

3. B V Raju Institute of Technology,Department of Computer Science and Engineering(Data Science) (Professor),Narsapur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10368386/10368609/10369056.pdf?arnumber=10369056

Reference33 articles.

1. An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework

2. Deep-Learning Based Detection for Cyber-Attacks in IoT Networks: A Distributed Attack Detection Framework

3. Detecting anonymous attacks in wireless communication medium using adaptive grasshopper optimization algorithm

4. A Secure Control Learning Framework for Cyber-Physical Systems Under Sensor and Actuator Attacks

5. Optimization Enabled Deep Learning-Based DDoS Attack Detection in Cloud Computing

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