Genetic Optimization Techniques for Enhancing Web Attacks Classification in Machine Learning-Reference-Cited by-同舟云学术

Genetic Optimization Techniques for Enhancing Web Attacks Classification in Machine Learning

Published:2023-11-14 Issue: Volume: Page:
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Container-title:2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
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Author:

Jaradat Ameera S.¹,Nasayreh Ahmad²,Al-Na'amneh Qais³,Gharaibeh Hasan²,Al Mamlook Rabia Emhamed⁴

Affiliation:

1. Yarmouk University,Dep. of Computer Science,Irbid,Jordan

2. Yarmouk University,Dep. of Computer Science,Irbid,Jordan,211633

3. Applied Science Private University,Dep. of Cyber Security and Cloud Computing,Amman,Jordan

4. Trine University,Dep. of Business Administration,Indiana,USA

Publisher

IEEE

Link

Reference26 articles.

3. Application of genetic algorithms in machine learning;Bhasin;IJCSIT,2011

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5. Feature Selection for Robust Spoofing Detection: A Chi-Square-based Machine Learning Approach;2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI);2023-12-27