Back to
Marwa Keshk

Dr Marwa Keshk

Associate Lecturer
UNSW Canberra
School of Professional Studies

Marwa Keshk is Lecturer in Cyber Security at the school of Professional studies, University of New South Wales (UNSW) @ Canberra. She obtained her PhD degree in Cyber Security and Privacy Preservation, and master degree in Evolutionary Computation in 2021 and 2017, respectively, from UNSW. She received the Bachelor degree in Computer Science in 2012 from the faculty of Computers and Information at Helwan University, Egypt. During my PhD, she was research candidate at Data61-CSIRO in Australia. Her areas of Interest include working in the intersection of Cyber Security and Artificial Intelligence for Privacy Preservation, Anomaly Detection and Threat Intelligence using Computational Intelligence, Machine Learning, Statistical Methods, and emerging technologies.
E-mail
marwa.keshk@unsw.edu.au
  • Book Chapters | 2024
    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 | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2024
    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
    Journal articles | 2023
    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
    Journal articles | 2023
    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
    Journal articles | 2022
    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
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 2021
    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
    Journal articles | 2020
    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
    Journal articles | 2020
    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
    Journal articles | 2019
    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
    Journal articles | 2018
    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
    Journal articles | 2018
    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 | 2023
    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
    Conference Papers | 2020
    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
    Conference Papers | 2020
    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
    Conference Papers | 2017
    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
    Conference Papers | 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
    Conference Papers | 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

 

  • UNSW Tuition Fee Scholarship (TFS) for PhD Research, 2018 - 2021.
  • Data61 / CSIRO Scholarship, 2019 - 2021.