Marwa Keshk

Lecturer
Associate Lecturer

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.

Conference Papers
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Moustafa N; Hassan M; Debie E; Janicke H, 2020, 'Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications', Guangzhou, China, presented at The 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Guangzhou, China, 31 December 2020
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
2020
Moustafa N; Creech G; Sitnikova E; Hassan M, 2017, 'Collaborative Anomaly Detection Framework for handling Big Data of Cloud Computing', in 2017 Military Communications and Information Systems Conference, MilCIS 2017 - Proceedings, Canberra, Australia, pp. 1 - 6, presented at Military Communications and Information Systems Conference (MilCIS), Canberra, Australia, 13 November 2017 - 14 November 2017, http://dx.doi.org/10.1109/MilCIS.2017.8190421
2017
Hassan MM; Moustafa N; Sitnikova E; Creech G, 2017, 'Privacy Preservation Intrusion Detection Technique for SCADA Systems', in 2017 Military Communications and Information Systems Conference, MilCIS 2017 - Proceedings, Canberra, pp. 1 - 6, presented at MilCIS 2017 IEEE Stream, Canberra, 14 November 2017 - 16 November 2017, http://dx.doi.org/10.1109/MilCIS.2017.8190422
2017
Hassan MM, 2017, 'Semantic Evolutionary Visualization', in Semantic Evolutionary Visualization, The Eighth International Conference on Swarm Intelligence (ICSI’2017), Fukuoka, Japan, presented at The Eighth International Conference on Swarm Intelligence (ICSI’2017), Fukuoka, Japan, 27 July 2017 - 01 August 2017
2017
Journal articles
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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, vol. 9, pp. 55077 - 55097, http://dx.doi.org/10.1109/ACCESS.2021.3069737
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, http://dx.doi.org/10.1016/j.future.2021.01.011
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, vol. 72, pp. 103041 - 103041, http://dx.doi.org/10.1016/j.scs.2021.103041
2021
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, vol. 96, pp. 101906 - 101906, http://dx.doi.org/10.1016/j.cose.2020.101906
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, vol. 16, pp. 5110 - 5118, http://dx.doi.org/10.1109/TII.2019.2957140
2020
Keshk M; Singh H; Abbass H, 2018, 'Automatic estimation of differential evolution parameters using Hidden Markov Models', Evolutionary Intelligence, vol. 10, pp. 77 - 93, http://dx.doi.org/10.1007/s12065-018-0153-5
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
2018

 

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