By Dr Marwa Keshk

Book Chapters

Hussein M; Keshk M; Hussein A, 2024, 'Non-stationarity Detection in Model-Free Reinforcement Learning via Value Function Monitoring', in , pp. 350 - 362, http://dx.doi.org/10.1007/978-981-99-8391-9_28

Journal articles

Yamany W; Keshk M; Moustafa N; Turnbull B, 2024, 'Swarm Optimization-Based Federated Learning for the Cyber Resilience of Internet of Things Systems Against Adversarial Attacks', IEEE Transactions on Consumer Electronics, 70, pp. 1359 - 1369, http://dx.doi.org/10.1109/TCE.2023.3319039

Pasdar A; Koroniotis N; Keshk M; Moustafa N; Tari Z, 2024, 'Cybersecurity Solutions and Techniques for Internet of Things Integration in Combat Systems', IEEE Transactions on Sustainable Computing, http://dx.doi.org/10.1109/TSUSC.2024.3443256

Masud MT; Keshk M; Moustafa N; Linkov I; Emge DK, 2024, 'Explainable Artificial Intelligence for Resilient Security Applications in the Internet of Things', IEEE Open Journal of the Communications Society, http://dx.doi.org/10.1109/OJCOMS.2024.3413790

Keshk M; Koroniotis N; Pham N; Moustafa N; Turnbull B; Zomaya AY, 2023, 'An explainable deep learning-enabled intrusion detection framework in IoT networks', Information Sciences, 639, http://dx.doi.org/10.1016/j.ins.2023.119000

Moustafa N; Koroniotis N; Keshk M; Zomaya AY; Tari Z, 2023, 'Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions', IEEE Communications Surveys and Tutorials, 25, pp. 1775 - 1807, http://dx.doi.org/10.1109/COMST.2023.3280465

Khan IA; Keshk M; Pi D; Khan N; Hussain Y; Soliman H, 2022, 'Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems', Ad Hoc Networks, 134, http://dx.doi.org/10.1016/j.adhoc.2022.102930

Ashraf J; Keshk M; Moustafa N; Abdel-Basset M; Khurshid H; Bakhshi AD; Mostafa RR, 2021, 'IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities', Sustainable Cities and Society, 72, http://dx.doi.org/10.1016/j.scs.2021.103041

Keshk M; Turnbull B; Sitnikova E; Vatsalan D; Moustafa N, 2021, 'Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems', IEEE Access, 9, pp. 55077 - 55097, http://dx.doi.org/10.1109/ACCESS.2021.3069737

Moustafa N; Hassan M; Choo K-KR; Lynar T; Camtepe S; Whitty M, 2021, 'DAD: A Distributed Anomaly Detection system using ensemble one-class statistical learning in edge networks', Future Generation Computer Systems, 118, pp. 240 - 251, http://dx.doi.org/10.1016/j.future.2021.01.011

Haider W; Moustafa N; Keshk M; Fernandez A; Choo KKR; Wahab A, 2020, 'FGMC-HADS: Fuzzy Gaussian mixture-based correntropy models for detecting zero-day attacks from linux systems', Computers and Security, 96, http://dx.doi.org/10.1016/j.cose.2020.101906

Keshk M; Turnbull B; Moustafa N; Vatsalan D; Choo KKR, 2020, 'A Privacy-Preserving-Framework-Based Blockchain and Deep Learning for Protecting Smart Power Networks', IEEE Transactions on Industrial Informatics, 16, pp. 5110 - 5118, http://dx.doi.org/10.1109/TII.2019.2957140

Keshk M; Sitnikova E; Moustafa N; Hu J; Khalil I, 2019, 'An Integrated Framework for Privacy-Preserving based Anomaly Detection for Cyber-Physical Systems', IEEE Transactions on Sustainable Computing, pp. 1 - 1, http://dx.doi.org/10.1109/tsusc.2019.2906657

Hassan M; Moustafa N; Sitnikova E; Turnbull B, 2018, 'Privacy-preserving big data analytics for cyber-physical systems', Wireless Networks, http://dx.doi.org/10.1007/s11276-018-01912-5

Keshk M; Singh H; Abbass H, 2018, 'Automatic estimation of differential evolution parameters using Hidden Markov Models', Evolutionary Intelligence, 10, pp. 77 - 93, http://dx.doi.org/10.1007/s12065-018-0153-5

Conference Papers

Masud MT; Keshk M; Moustafa N; Linkov I, 2023, 'An Explainable Intrusion Discovery Framework for Assessing Cyber Resilience in the Internet of Things Networks', in Proceedings of the Future Technologies Conference (FTC) 2023, Springer Nature, Vancouver, BC, Canada, pp. 199 - 215, presented at Future Technologies Conference (FTC) 2023, Vancouver, BC, Canada, 19 October 2023, http://dx.doi.org/10.1007/978-3-031-47448-4_15

Moustafa N; Hassan M; Debie E; Janicke H, 2020, 'Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications', in Wang GJ; Ko R; Bhuiyan MZA; Pan Y (eds.), Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020, Institute of Electrical and Electronics Engineers (IEEE), Guangzhou, China, pp. 848 - 855, presented at The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Guangzhou, China, 31 December 2020 - 01 January 2021, http://dx.doi.org/10.1109/TrustCom50675.2020.00114

Hassan M; Moustafa N; Sitnikova E; Turnbull B; Vatsalan D, 2020, 'Privacy-Preserving Techniques for Protecting Large-Scale Data of Cyber-Physical Systems', Tokyo, Japan, presented at The 16th International Conference on Mobility, Sensing and Networking (MSN 2020), Tokyo, Japan, 19 December 2020

Hassan MM; Moustafa N; Sitnikova E; Creech G, 2017, 'Privacy Preservation Intrusion Detection Technique for SCADA Systems', Canberra, presented at MilCIS 2017 IEEE Stream, Canberra, 14 November 2017 - 16 November 2017

Moustafa N; Creech G; Sitnikova E; Hassan M, 2017, 'Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing', Canberra, Australia, presented at Military Communications and Information Systems Conference (MilCIS), Canberra, Australia, 13 November 2017 - 14 November 2017

Hassan MM, 2017, 'Semantic Evolutionary Visualization', Fukuoka, Japan, presented at The Eighth International Conference on Swarm Intelligence (ICSI’2017), Fukuoka, Japan, 27 July 2017 - 01 August 2017, http://dx.doi.org/10.26190/unsworks/26260

Back to profile page