Genetic Algorithm Based Feature Selection Algorithm for Effective Intrusion Detection in Cloud Networks

Author:

Kannan Anand1,Maguire Jr. Gerald Q.1,Sharma Ayush2,Schoo Peter2

Affiliation:

1. Sch. of Inf. & Commun. Technol, KTH R. Inst. of Technol., Stockholm, Sweden

2. Fraunhofer Res. Instn. for Appl. & Integrated Security, Munich, Germany

Publisher

IEEE

Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Effective Intrusion Detection System using Hybrid Ensemble Method for Cloud Computing;2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC);2023-12-07

2. Towards Effective Feature Selection for IoT Botnet Attack Detection Using a Genetic Algorithm;Electronics;2023-03-06

3. Reliable Machine Learning Model for IIoT Botnet Detection;IEEE Access;2023

4. Intrusion Classification for Cloud Computing Network: A Step Towards an Intelligent Classification System;2022 14th International Conference on Computational Intelligence and Communication Networks (CICN);2022-12-04

5. A comprehensive survey of network traffic anomalies and DDoS attacks detection schemes using fuzzy techniques;Computers and Electrical Engineering;2022-12

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