Items where Author is "Rafiq, Husnain"
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Article
Aslam, Nauman, Randhawa, Rizwan Hamid, Alauthman, Mohammad and Rafiq, Husnain (2023) Evasion Generative Adversarial Network for Low Data Regimes. IEEE Transactions on Artificial Intelligence, 4 (5). pp. 1076-1088. ISSN 2691-4581
Rafiq, Husnain, Aslam, Nauman, Aleem, Muhammad, Issac, Biju and Randhawa, Rizwan Hamid (2022) AndroMalPack: Enhancing the ML-based Malware Classification by Detection and Removal of Repacked Apps for Android Systems. Scientific Reports, 12 (1). p. 19534. ISSN 2045-2322
Randhawa, Rizwan Hamid, Aslam, Nauman, Alauthman, Mohammad, Rafiq, Husnain and Comeau, Frank (2021) Security Hardening of Botnet Detectors Using Generative Adversarial Networks. IEEE Access, 9. pp. 78276-78292. ISSN 2169-3536
Rafiq, Husnain, Aslam, Nauman, Ahmed, Usman and Lin, Jerry Chun-Wei (2021) Mitigating Malicious Adversaries Evasion Attacks in Industrial Internet of Things. IEEE Transactions on Industrial Informatics, 19 (1). pp. 960-968. ISSN 1551-3203
Book Section
Rafiq, Husnain, Aslam, Nauman, Issac, Biju and Randhawa, Rizwan Hamid (2022) An Investigation on Fragility of Machine Learning Classifiers in Android Malware Detection. In: IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, Piscataway, US, pp. 1-6. ISBN 9781665409278, 9781665409261
Pye, Jack, Issac, Biju, Aslam, Nauman and Rafiq, Husnain (2020) Android Malware Classification Using Machine Learning and Bio-Inspired Optimisation Algorithms. In: 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications: TrustCom 2020. IEEE, Piscataway, pp. 1777-1882. ISBN 9781665403924
Thesis
Rafiq, Husnain (2022) Android malware detection using machine learning to mitigate adversarial evasion attacks. Doctoral thesis, Northumbria University.
