ORCID as entered in ROS

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Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, Preface i
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, Preface ii
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, Deep Learning Techniques for IoT Security and Privacy, Springer International Publishing, http://dx.doi.org/10.1007/978-3-030-89025-4
Gallagher M; Moustafa N; Lakshika E, 2020, Preface
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, 'Challenges, Opportunities, and Future Prospects', in Studies in Computational Intelligence, pp. 229 - 257, http://dx.doi.org/10.1007/978-3-030-89025-4_10
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, 'Deep Reinforcement Learning for Secure Internet of Things', in Studies in Computational Intelligence, pp. 203 - 213, http://dx.doi.org/10.1007/978-3-030-89025-4_8
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, 'Digital Forensics in Internet of Things', in Studies in Computational Intelligence, pp. 113 - 130, http://dx.doi.org/10.1007/978-3-030-89025-4_4
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, 'Federated Learning for Privacy-Preserving Internet of Things', in Studies in Computational Intelligence, pp. 215 - 228, http://dx.doi.org/10.1007/978-3-030-89025-4_9
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, 'Internet of Things Security Requirements, Threats, Attacks, and Countermeasures', in Studies in Computational Intelligence, pp. 67 - 112, http://dx.doi.org/10.1007/978-3-030-89025-4_3
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, 'Internet of Things, Preliminaries and Foundations', in Studies in Computational Intelligence, pp. 37 - 65, http://dx.doi.org/10.1007/978-3-030-89025-4_2
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, 'Introduction Conceptualization of Security, Forensics, and Privacy of Internet of Things: An Artificial Intelligence Perspective', in Studies in Computational Intelligence, pp. 1 - 35, http://dx.doi.org/10.1007/978-3-030-89025-4_1
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, 'Semi-supervised Deep Learning for Secure Internet of Things', in Studies in Computational Intelligence, pp. 181 - 202, http://dx.doi.org/10.1007/978-3-030-89025-4_7
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, 'Supervised Deep Learning for Secure Internet of Things', in Studies in Computational Intelligence, pp. 131 - 166, http://dx.doi.org/10.1007/978-3-030-89025-4_5
Abdel-Basset M; Moustafa N; Hawash H; Ding W, 2022, 'Unsupervised Deep Learning for Secure Internet of Things', in Studies in Computational Intelligence, pp. 167 - 180, http://dx.doi.org/10.1007/978-3-030-89025-4_6
Moustafa N; Hu J, 2020, 'Security and Privacy in 4G/LTE Network', in Encyclopedia of Wireless Networks, Springer International Publishing, pp. 1265 - 1271, http://dx.doi.org/10.1007/978-3-319-78262-1_119
Moustafa N; Slay J, 2018, 'A Network Forensic Scheme Using Correntropy-Variation for Attack Detection', in Advances in Digital Forensics XIV, Springer, Cham, IFIP International Federation for Information Processing 2018, pp. 225 - 239, http://dx.doi.org/10.1007/978-3-319-99277-8_13
Moustafa NM; hu J, 2018, 'Security and Privacy in 4G/LTE Network', in Encyclopedia of Wireless Networks, Springer, Cham, http://dx.doi.org/10.1007/978-3-319-32903-1_119-1
Moustafa NM; Creech G; Slay J, 2017, 'Big Data Analytics for Intrusion Detection System: Statistical Decision-making using Finite Dirichlet Mixture Models', in Carrascosa IP; Kalutarage HK; Huang Y (ed.), Data Analytics and Decision Support for Cybersecurity, Springer, Cham, pp. 127 - 156, http://dx.doi.org/10.1007/978-3-319-59439-2_5
Issa W; Moustafa N; Turnbull B; Sohrabi N; Tari Z, 2023, 'Blockchain-Based Federated Learning for Securing Internet of Things: A Comprehensive Survey', ACM Computing Surveys, vol. 55, pp. 1 - 43, http://dx.doi.org/10.1145/3560816
Sarhan M; Layeghy S; Moustafa N; Portmann M, 2023, 'Cyber Threat Intelligence Sharing Scheme Based on Federated Learning for Network Intrusion Detection', Journal of Network and Systems Management, vol. 31, http://dx.doi.org/10.1007/s10922-022-09691-3
Abdel-Basset M; Moustafa N; Hawash H, 2023, 'Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach', IEEE Transactions on Industrial Informatics, vol. 19, pp. 995 - 1005, http://dx.doi.org/10.1109/TII.2022.3165869
Khan IA; Moustafa N; Pi D; Haider W; Li B; Jolfaei A, 2022, 'An Enhanced Multi-Stage Deep Learning Framework for Detecting Malicious Activities From Autonomous Vehicles', IEEE Transactions on Intelligent Transportation Systems, vol. 23, pp. 25469 - 25478, http://dx.doi.org/10.1109/TITS.2021.3105834
Akter M; Moustafa N; Lynar T; Razzak I, 2022, 'Edge Intelligence: Federated Learning-Based Privacy Protection Framework for Smart Healthcare Systems', IEEE Journal of Biomedical and Health Informatics, vol. 26, pp. 5805 - 5816, http://dx.doi.org/10.1109/JBHI.2022.3192648
Rahman MA; Mukta MY; Asyhari AT; Moustafa N; Patwary MN; Yousuf A; Razzak I; Gupta BB, 2022, 'Renewable Energy Re-Distribution via Multiscale IoT for 6G-Oriented Green Highway Management', IEEE Transactions on Intelligent Transportation Systems, vol. 23, pp. 23771 - 23780, http://dx.doi.org/10.1109/TITS.2022.3203208
Abdel-Basset M; Moustafa N; Hawash H, 2022, 'Privacy-Preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach', IEEE Transactions on Industrial Informatics, vol. 18, pp. 7920 - 7934, http://dx.doi.org/10.1109/TII.2022.3167663
Abdel-Basset M; Hawash H; Moustafa N, 2022, 'Toward Privacy Preserving Federated Learning in Internet of Vehicular Things: Challenges and Future Directions', IEEE Consumer Electronics Magazine, vol. 11, pp. 56 - 66, http://dx.doi.org/10.1109/MCE.2021.3117232
Salim S; Moustafa N; Turnbull B; Razzak I, 2022, 'Perturbation-enabled Deep Federated Learning for Preserving Internet of Things-based Social Networks', ACM Transactions on Multimedia Computing, Communications and Applications, vol. 18, pp. 1 - 19, http://dx.doi.org/10.1145/3537899
Ahmed M; Moustafa N; Suaib Akhter AFM; Razzak I; Surid E; Anwar A; Shahen Shah AFM; Zengin A, 2022, 'A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET', IEEE Transactions on Intelligent Transportation Systems, vol. 23, pp. 19624 - 19633, http://dx.doi.org/10.1109/TITS.2021.3115245
Rahman MA; Rahim MA; Rahman MM; Moustafa N; Razzak I; Ahmad T; Patwary MN, 2022, 'A Secure and Intelligent Framework for Vehicle Health Monitoring Exploiting Big-Data Analytics', IEEE Transactions on Intelligent Transportation Systems, vol. 23, pp. 19727 - 19742, http://dx.doi.org/10.1109/TITS.2021.3138255
Rahim MA; Rahman MA; Rahman MM; Zaman N; Moustafa N; Razzak I, 2022, 'An Intelligent Risk Management Framework for Monitoring Vehicular Engine Health', IEEE Transactions on Green Communications and Networking, vol. 6, pp. 1298 - 1306, http://dx.doi.org/10.1109/TGCN.2022.3179350
Razzak I; Moustafa N; Mumtaz S; Xu G, 2022, 'One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data', International Journal of Intelligent Systems, vol. 37, pp. 4515 - 4536, http://dx.doi.org/10.1002/int.22729
Rahman MS; Khalil I; Moustafa N; Kalapaaking AP; Bouras A, 2022, 'A Blockchain-Enabled Privacy-Preserving Verifiable Query Framework for Securing Cloud-Assisted Industrial Internet of Things Systems', IEEE Transactions on Industrial Informatics, vol. 18, pp. 5007 - 5017, http://dx.doi.org/10.1109/TII.2021.3105527
Khan IA; Moustafa N; Pi D; Sallam KM; Zomaya AY; Li B, 2022, 'A New Explainable Deep Learning Framework for Cyber Threat Discovery in Industrial IoT Networks', IEEE Internet of Things Journal, vol. 9, pp. 11604 - 11613, http://dx.doi.org/10.1109/JIOT.2021.3130156
Abdel-Basset M; Hawash H; Moustafa N; Mohammad N, 2022, 'H2HI-Net: A Dual-Branch Network for Recognizing Human-to-Human Interactions From Channel-State Information', IEEE Internet of Things Journal, vol. 9, pp. 10010 - 10021, http://dx.doi.org/10.1109/JIOT.2021.3117909
Weinger B; Kim J; Sim A; Nakashima M; Moustafa N; Wu KJ, 2022, 'Enhancing IoT anomaly detection performance for federated learning', Digital Communications and Networks, vol. 8, pp. 314 - 323, http://dx.doi.org/10.1016/j.dcan.2022.02.007
Hassanin M; Moustafa N; Tahtali M; Choo KKR, 2022, 'Rethinking maximum-margin softmax for adversarial robustness', Computers and Security, vol. 116, pp. 102640 - 102640, http://dx.doi.org/10.1016/j.cose.2022.102640
Jagatheesaperumal SK; Mishra P; Moustafa N; Chauhan R, 2022, 'A holistic survey on the use of emerging technologies to provision secure healthcare solutions', Computers and Electrical Engineering, vol. 99, http://dx.doi.org/10.1016/j.compeleceng.2022.107691
Koroniotis N; Moustafa N; Slay J, 2022, 'A new Intelligent Satellite Deep Learning Network Forensic framework for smart satellite networks', Computers and Electrical Engineering, vol. 99, pp. 107745 - 107745, http://dx.doi.org/10.1016/j.compeleceng.2022.107745
Abdel-Basset M; Gamal A; Moustafa N; Askar SS; Abouhawwash M, 2022, 'A Risk Assessment Model for Cyber-Physical Water and Wastewater Systems: Towards Sustainable Development', Sustainability (Switzerland), vol. 14, pp. 4480 - 4480, http://dx.doi.org/10.3390/su14084480
Salim S; Turnbull B; Moustafa N, 2022, 'Data analytics of social media 3.0: Privacy protection perspectives for integrating social media and Internet of Things (SM-IoT) systems', Ad Hoc Networks, vol. 128, http://dx.doi.org/10.1016/j.adhoc.2022.102786
Abdel-Basset M; Moustafa N; Hawash H; Razzak I; Sallam KM; Elkomy OM, 2022, 'Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems', IEEE Transactions on Intelligent Transportation Systems, vol. 23, pp. 2523 - 2537, http://dx.doi.org/10.1109/TITS.2021.3119968
Moustafa N; Choo KKR; Abu-Mahfouz AM, 2022, 'Guest Editorial: AI-Enabled Threat Intelligence and Hunting Microservices for Distributed Industrial IoT System', IEEE Transactions on Industrial Informatics, vol. 18, pp. 1892 - 1895, http://dx.doi.org/10.1109/TII.2021.3111028
Qayyum A; Razzak I; Moustafa N; Mazher M, 2022, 'Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children', Image and Vision Computing, vol. 119, http://dx.doi.org/10.1016/j.imavis.2022.104375
Bugshan N; Khalil I; Moustafa N; Almashor M; Abuadbba A, 2022, 'Radial Basis Function Network with Differential Privacy', Future Generation Computer Systems, vol. 127, pp. 473 - 486, http://dx.doi.org/10.1016/j.future.2021.09.013
Khan IA; Moustafa N; Razzak I; Tanveer M; Pi D; Pan Y; Ali BS, 2022, 'XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks', Future Generation Computer Systems, vol. 127, pp. 181 - 193, http://dx.doi.org/10.1016/j.future.2021.09.010
Al-Doghman F; Moustafa N; Khalil I; Tari Z; Zomaya A, 2022, 'AI-enabled Secure Microservices in Edge Computing: Opportunities and Challenges', IEEE Transactions on Services Computing, http://dx.doi.org/10.1109/TSC.2022.3155447
Oseni A; Moustafa N; Creech G; Sohrabi N; Strelzoff A; Tari Z; Linkov I, 2022, 'An Explainable Deep Learning Framework for Resilient Intrusion Detection in IoT-Enabled Transportation Networks', IEEE Transactions on Intelligent Transportation Systems, http://dx.doi.org/10.1109/TITS.2022.3188671
Asikuzzaman M; Mareen H; Moustafa N; Choo KKR; Pickering MR, 2022, 'Blind Camcording-Resistant Video Watermarking in the DTCWT and SVD Domain', IEEE Access, vol. 10, pp. 15681 - 15698, http://dx.doi.org/10.1109/ACCESS.2022.3146723
Johnson N; Turnbull B; Reisslein M; Moustafa N, 2022, 'CNA-TCC: Campaign Network Attribute Based Thematic Campaign Classification', IEEE Transactions on Computational Social Systems, pp. 1 - 13, http://dx.doi.org/10.1109/TCSS.2022.3184387
Schiliro F; Moustafa N; Razzak I; Beheshti A, 2022, 'DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing', IEEE Transactions on Intelligent Transportation Systems, pp. 1 - 9, http://dx.doi.org/10.1109/TITS.2022.3166631