Hybrid deep learning: An efficient reconnaissance and surveillance detection mechanism in SDN J Malik, A Akhunzada, I Bibi, M Imran, A Musaddiq, SW Kim IEEE Access 8, 134695-134706, 2020 | 79 | 2020 |
Securing industrial internet of things against botnet attacks using hybrid deep learning approach T Hasan, J Malik, I Bibi, WU Khan, FN Al-Wesabi, K Dev, G Huang IEEE Transactions on Network Science and Engineering, 2022 | 60 | 2022 |
A dynamic DL-driven architecture to combat sophisticated Android malware I Bibi, A Akhunzada, J Malik, J Iqbal, A Musaddiq, S Kim IEEE Access 8, 129600-129612, 2020 | 39 | 2020 |
An effective Android ransomware detection through multi-factor feature filtration and recurrent neural network I Bibi, A Akhunzada, J Malik, G Ahmed, M Raza 2019 UK/China Emerging Technologies (UCET), 1-4, 2019 | 33 | 2019 |
Cybersecurity Standards in the Context of Operating System: Practical Aspects, Analysis, and Comparisons AWK Syed Wasif Abbas Hamdani , Haider Abbas , Abdul Rehman Janjua , Waleed ... ACM Computing Surveys 54 (3), 2021 | 29* | 2021 |
Orchestrating sdn control plane towards enhanced iot security T Hasan, A Akhunzada, T Giannetsos, J Malik 2020 6th IEEE Conference on Network Softwarization (NetSoft), 457-464, 2020 | 27 | 2020 |
Security-aware data-driven intelligent transportation systems J Malik, A Akhunzada, I Bibi, M Talha, MA Jan, M Usman IEEE Sensors Journal 21 (14), 15859-15866, 2020 | 12 | 2020 |
Secure Distributed Mobile Volunteer Computing with Android I BIBI, A AKHUNZADA, J MALIK, M DAWOOD ACM Transaction on Internet Technology, 2020 | 10 | 2020 |
An effective Android ransomware detection through multi-factor feature filtration and recurrent neural network. In 2019 UK/China Emerging Technologies (UCET)(pp. 1-4) I Bibi, A Akhunzada, J Malik, G Ahmed, M Raza IEEE, 2019 | 8 | 2019 |
An Empirical Study of Vulnerabilities in Edge Frameworks to Support Security Testing Improvement FP Jahanzaib MALIK Empirical Software Engineering, 2023 | 5 | 2023 |