Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection

Randhawa, Rizwan Hamid; Aslam, Nauman; Alauthman, Mohammad; Khalid, Muhammad; Rafiq, Husnain

doi:10.1016/j.future.2023.09.011

Title: Deep reinforcement learning based Evasion Generative Adversarial Network for botnet detection

Journal Article · 01 January 2024 · Future Generations Computer Systems

DOI: https://doi.org/10.1016/j.future.2023.09.011 · OSTI ID:2006904

; Aslam, Nauman;

; Khalid, Muhammad; Rafiq, Husnain

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Sponsoring Organization:: USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research

OSTI ID:: 2006904

Journal Information:: Future Generations Computer Systems, Journal Name: Future Generations Computer Systems Vol. 150 Journal Issue: C; ISSN 0167-739X

Publisher:: ElsevierCopyright Statement

Country of Publication:: Netherlands

Language:: English

References (14)

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IP2Vec: Learning Similarities Between IP Addresses Ring, Markus; Dallmann, Alexander; Landes, Dieter 2017 IEEE International Conference on Data Mining Workshops (ICDMW) https://doi.org/10.1109/ICDMW.2017.93	conference	November 2017
Enhanced Credit Card Fraud Detection Model Using Machine Learning Alfaiz, Noor Saleh; Fati, Suliman Mohamed Electronics, Vol. 11, Issue 4 https://doi.org/10.3390/electronics11040662	journal	February 2022
Human-level control through deep reinforcement learning Mnih, Volodymyr; Kavukcuoglu, Koray; Silver, David Nature, Vol. 518, Issue 7540 https://doi.org/10.1038/nature14236	journal	February 2015
Evading Anti-Malware Engines With Deep Reinforcement Learning Fang, Zhiyang; Wang, Junfeng; Li, Boya IEEE Access, Vol. 7 https://doi.org/10.1109/ACCESS.2019.2908033	journal	January 2019
DIGFuPAS: Deceive IDS with GAN and function-preserving on adversarial samples in SDN-enabled networks Duy, Phan The; Tien, Le Khac; Khoa, Nghi Hoang Computers & Security, Vol. 109 https://doi.org/10.1016/j.cose.2021.102367	journal	October 2021
Questioning Racial and Gender Bias in AI-based Recommendations: Do Espoused National Cultural Values Matter? Gupta, Manjul; Parra, Carlos M.; Dennehy, Denis Information Systems Frontiers, Vol. 24, Issue 5 https://doi.org/10.1007/s10796-021-10156-2	journal	June 2021
Functionality-Preserving Adversarial Machine Learning for Robust Classification in Cybersecurity and Intrusion Detection Domains: A Survey McCarthy, Andrew; Ghadafi, Essam; Andriotis, Panagiotis Journal of Cybersecurity and Privacy, Vol. 2, Issue 1 https://doi.org/10.3390/jcp2010010	journal	March 2022
EvadeRL: Evading PDF Malware Classifiers with Deep Reinforcement Learning Mao, Zhengyang; Fang, Zhiyang; Li, Meijin Security and Communication Networks, Vol. 2022 https://doi.org/10.1155/2022/7218800	journal	April 2022
An empirical comparison and evaluation of minority oversampling techniques on a large number of imbalanced datasets Kovács, György Applied Soft Computing, Vol. 83 https://doi.org/10.1016/j.asoc.2019.105662	journal	October 2019
Deep Reinforcement Adversarial Learning Against Botnet Evasion Attacks Apruzzese, Giovanni; Andreolini, Mauro; Marchetti, Mirco IEEE Transactions on Network and Service Management, Vol. 17, Issue 4 https://doi.org/10.1109/TNSM.2020.3031843	journal	December 2020
IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks Huang, Shuokang; Lei, Kai Ad Hoc Networks, Vol. 105 https://doi.org/10.1016/j.adhoc.2020.102177	journal	August 2020
SMOTE: Synthetic Minority Over-sampling Technique Chawla, N. V.; Bowyer, K. W.; Hall, L. O. Journal of Artificial Intelligence Research, Vol. 16 https://doi.org/10.1613/jair.953	journal	January 2002
Security Hardening of Botnet Detectors Using Generative Adversarial Networks Randhawa, Rizwan Hamid; Aslam, Nauman; Alauthman, Mohammad IEEE Access, Vol. 9 https://doi.org/10.1109/ACCESS.2021.3083421	journal	January 2021

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