A survey on recent approaches in intrusion detection system in IoTs A Tabassum, A Erbad, M Guizani 2019 15th International Wireless Communications & Mobile Computing …, 2019 | 61 | 2019 |
Privacy-preserving distributed IDS using incremental learning for IoT health systems A Tabassum, A Erbad, A Mohamed, M Guizani IEEE Access 9, 14271-14283, 2021 | 43 | 2021 |
Fedgan-ids: Privacy-preserving ids using gan and federated learning A Tabassum, A Erbad, W Lebda, A Mohamed, M Guizani Computer Communications 192, 299-310, 2022 | 42 | 2022 |
Cybersecurity issues in implanted medical devices A Tabasum, Z Safi, W AlKhater, A Shikfa 2018 International Conference on Computer and Applications (ICCA), 1-9, 2018 | 32 | 2018 |
Security framework for iot devices against cyber-attacks A Tabassum, W Lebda arXiv preprint arXiv:1912.01712, 2019 | 22 | 2019 |
The need for a global response against cybercrime: Qatar as a case study A Tabassum, MS Mustafa, SA Al Maadeed 2018 6th International Symposium on Digital Forensic and Security (ISDFS), 1-6, 2018 | 22 | 2018 |
Using learning analytics to measure self‐regulated learning: A systematic review of empirical studies in higher education S Alhazbi, A Al‐ali, A Tabassum, A Al‐Ali, A Al‐Emadi, T Khattab, ... Journal of Computer Assisted Learning, 2024 | | 2024 |
Pathway to Prosocial AI-XR Metaverses: A Synergy of Technical and Regulatory Approaches A Tabassum, E Ezieddin, Q Junaid 2023 International Symposium on Networks, Computers and Communications (ISNCC), 2023 | | 2023 |
PRIVACY-PRESERVING DECENTRALIZED INTRUSION DETECTION SYSTEM FOR IOT DEVICES USING DEEP LEARNING A TABASSUM | | 2022 |