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  • Dr Mohiuddin Ahmed

    Dr Mohiuddin Ahmed

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  • Google Scholar profile
    https://scholar.google.com.au/citations?user=U4npn9cAAAAJ&hl=en&authuser=1
  • Google Scholar profile
  • The Conversation
    https://theconversation.com/profiles/mohiuddin-ahmed-698936
  • The Conversation
  • ORCiD profile
    https://orcid.org/0000-0002-4559-4768
  • ORCiD profile

Dr Mohiuddin Ahmed

Senior Lecturer

Staff Member Details
Telephone: +61 8 6304 5121
Email: mohiuddin.ahmed@ecu.edu.au
Campus: Joondalup  
Room: JO23.245  
ORCID iD: https://orcid.org/0000-0002-4559-4768

Dr Mohi Ahmed is a Senior Lecturer of Computing and Security discipline in the School of Science. Mohi has been serving in academic leadership roles as both an undergraduate and postgraduate course coordinator, in addition to actively participating in national and international showcases.

Current Teaching

  • Malware Analysis
  • Enterprise Security & Governance

Current Coordination

  • J99 Graduate Certificate of Cyber Security
  • J98 Graduate Diploma of Cyber Security
  • J97 Master of Cyber Security

Background

Dr Mohi Ahmed has been educating the next generation of cyber leaders and researching to disrupt the cybercrime ecosystem. His research is based on three pillars: (1) Offensive Security & Ransomware Resilience, (2) Cyber Governance, and (3) Data Analytics. He is driven to ensure national security and safeguard critical infrastructures from cyber terrorists. Mohi secured several external and internal grants worth more than $2 Million and has been collaborating with academia and industry. He has been regularly invited to speak at international conferences, government agencies and public organizations. He regularly appears on national and international media (newspaper, radio and TV), commenting on cyber issues with a global audience reach of more than a billion people. His contributions, as published in The Conversation, have reached over one million readers worldwide. He is a Senior Member of IEEE, a Distinguished Member of the European Alliance of Innovation and a Fellow of the Higher Education Academy, UK. He also served as an ACM Distinguished Speaker. ScholarGPS ranked him as a highly ranked lifetime scholar in the speciality of Anomaly Detection and have been listed in the world's Top 2% of scientists by Stanford University.

Professional Memberships

  • 2022 - Journal of Cyber Security Technology (Associate Editor)
  • 2021 - Association of Computing Machinery, ACM (Distinguished Speaker)
  • 2021 - National Security Hub, University of Canberra (Affiliate Member)
  • 2020 - Institute of Electrical and Electronics Engineers, IEEE (Senior Member)
  • 2020 - Australian Computer Society, ACS (Certified Professional)
  • 2019 - Australian Information Security Association, AISA (Member)
  • 2018 - Cambridge Scholars Publishing, UK (Editorial Advisory Board Member)
  • 2017 - International Journal of Computers and Applications (Associate Editor)

Awards and Recognition

National and International Awards

  • 2023 - AISA Awards Finalist: Cyber Security Researcher of the Year
  • 2023 - Best Paper Award at 12th International Conference on Health Information Science
  • 2022 - ECU Honour Award for Outstanding Contribution to the Media
  • 2020 - Business Events Perth Aspire Award
  • 2021 - ECU Media Star Award for Most Widely Read CONVERSATION Article
  • 2021 - Best Paper Award at 14th EAI International Wireless Internet Conference
  • 2016 - UNSW Canberra PhD Thesis Writing Fellowship
  • 2015 - UNSW Canberra High Impact Research Publications Award
  • 2012 - UNSW Canberra University International Postgraduate Award

University and National Teaching Awards

  • 2018 – CIT Cyber Teaching Team Nomination for Staff Achievement Award

National and International Research Positions

  • 2019 – Present, Grant Reviewer & Thesis Examiner
    • Canadian Discovery Grant (NSERC)
    • Qatar National Research Fund (QRNF)
    • Swiss National Science Foundation (SNSF)
    • National and International Universities

Research Areas and Interests

  • Cyber Governance
  • Data Analytics
  • Offensive Security
  • Ransomware Resilience

Qualifications

  • Doctor of Philosophy, The University of New South Wales, 2016.

Research Outputs

2025

Journal Articles

  • Johnstone, M., Yang, W., Ahmed, M. (2025). Using Machine Learning to Detect Vault (Anti-Forensic) Apps. Future Internet, 17(5), Article number 186. https://doi.org/10.3390/fi17050186.
  • Ullah, AB., Ma, W., Ahmed, M., Rashid, B., Saeed, M., Arshad, O., Raghav, U. (2025). A comprehensive review of cyber security and current practices in global mining critical infrastructure. Journal of Cyber Security Technology, 2025(article in press), 27 pages. https://doi.org/10.1080/23742917.2025.2475563.
  • Gaber, M., Ahmed, M., Janicke, H. (2025). Zero day ransomware detection with Pulse: Function classification with Transformer models and assembly language. Computers & Security, 148(2025), article number 104167. https://doi.org/10.1016/j.cose.2024.104167.
  • Shannahan, J., Ahmed, M. (2025). Infusing Aboriginal Perspectives in Cyber Education. EAI Endorsed Transactions on e-Learning, 11(1), 8 pages. https://doi.org/10.4108/eetel.5779.

2024

Book Chapters

  • Moonsamy, A., Ahmed, M., Guidetti, O., Rashid, B. (2024). The Human Firewall: Mitigating Ransomware Risks in Critical Infrastructures through Human-Centric Approaches. Ransomware Evolution (192-207). CRC Press. https://doi.org/10.1201/9781003469506-14.
  • Moonsamy, A., Ahmed, M., Guidetti, O., Rashid, B. (2024). Integrating human factors and systemic resilience: An interdisciplinary approach to cybersecurity in critical infrastructures and utilities. Psybersecurity: Human Factors of Cyber Defence (1-34). CRC Press. https://doi.org/10.1201/9781032664859-1.

Journal Articles

  • Gaber, M., Ahmed, M., Janicke, H. (2024). Malware Detection with Artificial Intelligence: A Systematic Literature Review. ACM Computing Surveys, 56(6), article number 148. https://doi.org/10.1145/3638552.
  • Rashid, SM., Haq, A., Hasan, ST., Furhad, MH., Ahmed, M., Barkat, A. (2024). Faking smart industry: exploring cyber-threat landscape deploying cloud-based honeypot. Wireless Networks: the journal of mobile communication, computation and information, 30(5), 4527-4541. https://doi.org/10.1007/s11276-022-03057-y.
  • Ahmed, M., Rashid, B. (2024). EDSUCh: A Robust Ensemble Data Summarization Method for Effective Medical Diagnosis. Digital Communications and Networks, 10(1), 182-189. https://doi.org/10.1016/j.dcan.2022.07.007.
  • Ahmed, M., Gaber, M. (2024). An investigation on cyber espionage ecosystem. Journal of Cyber Security Technology, 2024(Article in press), 25 pages. https://doi.org/10.1080/23742917.2024.2399389.
  • Hur, A., Janjua, N., Ahmed, M. (2024). Unifying context with labeled property graph: A pipeline-based system for comprehensive text representation in NLP. Expert Systems with Applications, 239(2024), article number 122269. https://doi.org/10.1016/j.eswa.2023.122269.
  • Dart, M., Ahmed, M. (2024). Operational shock: A method for estimating cyber security incident costs for large Australian healthcare providers. Journal of Cyber Security Technology, 8(4), 260-285. https://doi.org/10.1080/23742917.2023.2291914.

Conference Publications

  • Venkateswaran, T., Islam, SR., Hasan, MG., Ahmed, M. (2024). Aiming to Minimize Alcohol-Impaired Road Fatalities: Utilizing Fairness-Aware and Domain Knowledge-Infused Artificial Intelligence. Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023 (4205-4212). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData59044.2023.10386464.
  • Lu, X., Yan, S., Huang, Y., Zhang, Y., Ahmed, M. (2024). Channel Truncation Inspired Short-Packet Covert Communication with Poisson Packet Generation. 2023 International Conference on Wireless Communications and Signal Processing (WCSP) (737-742). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCSP58612.2023.10405142.
  • Karumba, S., Chau, SC., Pearce, H., Ahmed, M., Janicke, H. (2024). Systematic Study of Cybersecurity Threats for Smart Inverters. Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems (669–675). Association for Computing Machinery. https://doi.org/10.1145/3632775.3661994.
  • Griffiths, T., Ahmed, M., Yan, S. (2024). WIP: Performance Metrics of PUF-based Authentication Protocols for Smart Grid: A Review. 2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) (4 pages). IEEE. https://doi.org/10.1109/WoWMoM60985.2024.00012.

2023

Book Chapters

  • Akhter, AF., Hizal, S., Arnob, TZ., Noor, EB., Surid, E., Ahmed, M. (2023). An EDGE Supported Ambulance Management System for Smart Cities. Cybersecurity for Smart Cities: Practices and Challenges (151-168). Springer. https://doi.org/10.1007/978-3-031-24946-4_11.
  • Rashid, B., Ahmed, M., Barkat Ullah, A. (2023). Cyber Safe Data Repositories. Cybersecurity for Smart Cities: Practices and Challenges (87-103). Springer. https://doi.org/10.1007/978-3-031-24946-4_7.
  • Mondol, A., Sultana, J., Ahmed, M., Rashid, B. (2023). Misinformation Detection in Cyber Smart Cities. Cybersecurity for Smart Cities: Practices and Challenges (105-120). Springer. https://doi.org/10.1007/978-3-031-24946-4_8.
  • Lamers, C., Spoerl, E., Levey, G., Choudhury, N., Ahmed, M. (2023). Ransomware: A Threat to Cyber Smart Cities. Cybersecurity for Smart Cities: Practices and Challenges (185–204). Springer. https://doi.org/10.1007/978-3-031-24946-4_13.
  • Zubair, M., Zubair, S., Ahmed, M. (2023). Cyberbullying Instilled in Social Media. Cybersecurity for Smart Cities: Practices and Challenges (17-29). Springer. https://doi.org/10.1007/978-3-031-24946-4_2.
  • Zubair, S., Zubair, M., Ahmed, M. (2023). Investigation on the Infusion of Cybersecurity and Smart City. Cybersecurity for Smart Cities: Practices and Challenges (1-15). Springer. https://doi.org/10.1007/978-3-031-24946-4_1.

Journal Articles

  • Dart, M., Ahmed, M. (2023). CYBER-AIDD: A novel approach to implementing improved cyber security resilience for large Australian healthcare providers using a Unified Modelling Language ontology. Digital Health, 9(2023), pp. https://doi.org/10.1177/20552076231191095.
  • Al Amin, S., Mukta , MS., Saikat, MS., Hossain, MI., Islam, MA., Ahmed, M., Azam, S. (2023). Data Driven Classification of Opioid Patients Using Machine Learning-An Investigation. IEEE Access, 11(2023), 396-409. https://doi.org/10.1109/ACCESS.2022.3230596.
  • Suleski, T., Ahmed, M., Yang, W., Wang, E. (2023). A review of multi-factor authentication in the Internet of Healthcare Things. Digital Health, 9(2023), pp. https://doi.org/10.1177/20552076231177144.
  • Hasan, MT., Hossain, MA., Hossain Mukta, MS., Akter, A., Ahmed, M., Islam, S. (2023). A Review on Deep-Learning-Based Cyberbullying Detection. Future Internet, 15(5), Article number 179. https://doi.org/10.3390/fi15050179.
  • Dart, M., Ahmed, M. (2023). Evaluating Staff Attitudes, Intentions, and Behaviors Related to Cyber Security in Large Australian Health Care Environments: Mixed Methods Study. JMIR Human Factors, 10(1), Article number e48220. https://doi.org/10.2196/48220.
  • Suleski, T., Ahmed, M. (2023). A Data Taxonomy for Adaptive Multifactor Authentication in the Internet of Health Care Things. Journal of Medical Internet Research, 25(2023), article number e44114. https://doi.org/10.2196/44114.
  • Stroebel, L., Llewellyn, M., Hartley, T., Ip, S., Ahmed, M. (2023). A systematic literature review on the effectiveness of deepfake detection techniques. Journal of Cyber Security Technology, 7(2), 83-113. https://doi.org/10.1080/23742917.2023.2192888.
  • Rahman, MM., Khan, NI., Sarker, MI., Ahmed, M., Islam, MN. (2023). Leveraging machine learning to analyze sentiment fromCOVID-19 tweets: A global perspective. Engineering Reports, 5(3), article number e12572. https://doi.org/10.1002/eng2.12572.
  • Ahmed, M., Akhter, AF., Rashid, B., Pathan, AK. (2023). A dependable and secure consensus algorithm for blockchain assisted microservice architecture. Computers and Electrical Engineering, 109(August 2023), Article number 108762. https://doi.org/10.1016/j.compeleceng.2023.108762.

Conference Publications

  • Dart, M., Ahmed, M. (2023). Australia’s Notifiable Data Breach Scheme: An Analysis of Risk Management Findings for Healthcare. 12th International Conference on Health Information Science (HIS 2023) (65-78). Springer Nature. https://doi.org/10.1007/978-981-99-7108-4_6.
  • Ahmed, M., Rashid, B., Pathan, AK. (2023). Ransomware 3.0 – A Weapon for Next Generation Information Warfare. International Conference on Cryptology & Network Security with Machine Learning (article in press). Springer. https://ro.ecu.edu.au/ecuworks2022-2026/2485.
  • Ahmed, M., Pagutaisidro, C., Pike, A., Yang, Y., Pathan, AK. (2023). RansomCoin: A New Dataset for Analysing Cryptocurrency Transactions - Addressing a Gap in The Literature. The 2023 International Workshop on AI-Driven Trustworthy, Secure, and Privacy-Preserving Computing (AidTSP 2023) (article in press). IEEE. https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225797.
  • Moonsamy, A., Ahmed, M. (2023). Developing a Comprehensive Risk Management Framework for E-Health Care Delivery. 12th International Conference on Health Information Science (HIS 2023) (101-111). Springer Nature. https://doi.org/10.1007/978-981-99-7108-4_9.

2022

Book Chapters

  • Khan, SU., Eusufzai, F., Redwan, MA., Ahmed, M., Sabuj, SR. (2022). Artificial Intelligence for Cyber Security: Performance Analysis of Network Intrusion Detection. Explainable Artificial Intelligence for Cyber Security (113-139). Springer. https://doi.org/10.1007/978-3-030-96630-0_6.
  • Jindal, R., Falah, A., Anwar, A., Ahmed, M. (2022). Privacy-preserving analytics for social network data: A survey of currently prevalent tools. Securing Social Networks in Cyberspace (17-34). CRC Press. https://doi.org/10.1201/9781003134527.
  • Ahmed, M., Martin, C., Walker, T., Van Rooyen, J. (2022). False Information in a Post Covid-19 World. Combating Fake News with Computational Intelligence Techniques (369-385). Springer. https://doi.org/10.1007/978-3-030-90087-8_18.
  • Saeed, MA., Rashid, T., Ahmed, M. (2022). Enabling Corporate and Institutional Governance for Effective IT Governance. Next-Generation Enterprise Security and Governance (47-68). CRC Press. https://doi.org/10.1201/9781003121541-2.
  • Ahmed, M., Zubair, S. (2022). Explainable Artificial Intelligence in Sustainable Smart Healthcare. Explainable Artificial Intelligence for Cyber Security (265-280). Springer. https://doi.org/10.1007/978-3-030-96630-0_12.
  • Rashid, B., Ahmed, M., Barkat Ullah, AS. (2022). Data Lakes: A Panacea for Big Data Problems, Cyber Safety Issues, and Enterprise Security. Next-Generation Enterprise Security and Governance (135-162). CRC Press. https://doi.org/10.1201/9781003121541-6.

Journal Articles

  • Ahmed, M., Cox, D., Simpson, B., Aloufi, A. (2022). ECU-IoFT: A Dataset for Analysing Cyber-Attacks on Internet of Flying Things. Applied Sciences, 12(4), article number 1990. https://doi.org/10.3390/app12041990.
  • Ahmed, M., Bachmann, S., Martin, C., Walker, T., Van Rooyen, J., Barkat, A. (2022). False Information as a Threat to Modern Society: A Systematic Review of False Information, Its Impact on Society, and Current Remedies. Journal of Information Warfare, 21(2), 105-120. https://ro.ecu.edu.au/ecuworks2022-2026/1302.
  • Ahmed, M., Moustafa, N., Akhter, AF., Razzak, I., Surid, E., Anwar, A., Shah, AF., Zengin, A. (2022). A Blockchain-Based Emergency Message Transmission Protocol for Cooperative VANET. IEEE Transactions on Intelligent Transportation Systems, 23(10), 19624-19633. https://doi.org/10.1109/TITS.2021.3115245.
  • Rashid, B., Ahmed, M., Sikos, L., Haskell-Dowland, P. (2022). Anomaly Detection in Cybersecurity Datasets via Cooperative Co-Evolution-Based Feature Selection. ACM Transactions on Management Information Systems, 13(3), 1-39. https://doi.org/10.1145/3495165.
  • Akhter, AF., Ahmed, M., Anwar, A., Shah, AF., Pathan, AK., Zengin, A. (2022). Blockchain in Vehicular Ad hoc Networks: Applications, Challenges and Solutions. International Journal of Sensor Networks, 40(2), 94-130. https://doi.org/10.1504/ijsnet.2022.126340.
  • Riddell, L., Ahmed, M., Haskell-Dowland, P. (2022). Establishment and mapping of heterogeneous anomalies in network intrusion datasets. Connection Science, 34(1), 2755-2783. https://doi.org/10.1080/09540091.2022.2151568.
  • Mursalin, M., Ahmed, M., Haskell-Dowland, P. (2022). Biometric Security: A Novel Ear Recognition Approach Using a 3D Morphable Ear Model. Sensors, 22(2022), Article Number 8988. https://doi.org/10.3390/s22228988.
  • Ahmed, M., Bachmann , S., Barkat Ullah, A., Barnett, S. (2022). Ransomware 2.0: an emerging threat to national security. Australian Journal of Defence and Strategic Studies, 4(1), 125–132. https://doi.org/10.51174/AJDSS.0401/EMQH2521.

Conference Publications

  • Rashid, SM., Haq, A., Hasan, ST., Furhad, MH., Ahmed, M., Barkat Ullah, AS. (2022). Faking Smart Industry: A Honeypot-Driven Approach for Exploring Cyber Security Threat Landscape. Cognitive Radio Oriented Wireless Networks and Wireless Internet (307–324). Springer. https://doi.org/10.1007/978-3-030-98002-3_23.
  • Evans, K., Abuadbba, A., Wu, T., Moore, K., Ahmed, M., Pogrebna, G., Nepal, S., Johnstone, M. (2022). RAIDER: Reinforcement-Aided Spear Phishing Detector. Lecture Notes in Computer Science (23-50). Springer. https://doi.org/10.1007/978-3-031-23020-2_2.
  • Rashid, B., Ahmed, M., Islam, SR. (2022). A Supervised Rare Anomaly Detection Technique via Cooperative Co-evolution-Based Feature Selection Using Benchmark UNSW_NB15 Dataset. Communications in Computer and Information Science (279–291). Springer Nature. https://doi.org/10.1007/978-981-19-0468-4_21.
  • Ahmed, M., Akhter, AF., Rashid, B., Fahmideh , M., Pathan, AK., Anwar, A. (2022). Blockchain Meets Secured Microservice Architecture: A Trustworthy Consensus Algorithm. Proceedings of the 19th International Conference on Wireless Networks and Mobile Systems (53-60). SCITEPRESS – Science and Technology Publications, Lda..
  • Rahman, S., Suleski, T., Ahmed, M., Kayes, AS. (2022). An Investigation of Vulnerabilities in Internet of Health Things. Cognitive Radio Oriented Wireless Networks and Wireless Internet (296–306). Springer. https://doi.org/10.1007/978-3-030-98002-3_22.

2021

Book Chapters

  • Vishavnath, S., Anwar, A., Ahmed, M. (2021). Machine learning based Cyber-security defense at the age of Industry 4.0. Machine Intelligence and Data Analytics for Sustainable Future Smart Cities (355-369). Springer. https://doi.org/10.1007/978-3-030-72065-0.

Journal Articles

  • Aurisch, R., Ahmed, M., Barkat, A. (2021). An outlook at Agile methodologies for the independent games developer. International Journal of Computers and Applications, 43(8), 812-818. https://doi.org/10.1080/1206212X.2019.1621463.
  • Ahmed, M., Zubair, S., Akhter, AS., Ullah, AS. (2021). Yet another investigation on blockchain in smart healthcare. International Journal of Agile Systems and Management, 14(4), 614-634. https://doi.org/10.1504/IJASM.2021.120243.
  • Akhter, AF., Ahmed, M., Shah, AF., Anwar, A., Zengin, A. (2021). A Secured Privacy-Preserving Multi-Level Blockchain Framework for Cluster Based VANET. Sustainability, 13(1), 1-25. https://doi.org/10.3390/su13010400.
  • Yang, W., Wang, S., Bin Sahri, NM., Karie, N., Ahmed, M., Valli, C. (2021). Biometrics for Internet‐of‐Things Security: A Review. Sensors, 21(18), Article number 6163. https://doi.org/10.3390/s21186163.
  • Akhter, AF., Ahmed, M., Shah, AF., Anwar, A., Kayes , AS., Zengin, A. (2021). A Blockchain-Based Authentication Protocol for Cooperative Vehicular Ad Hoc Network. Sensors, 21(4), Article number 1273. https://doi.org/10.3390/s21041273.
  • Akhter, AF., Shah, AF., Ahmed, M., Moustafa, N., Çavu¸soglu, U., Zengin, A. (2021). A Secured Message Transmission Protocol for Vehicular Ad Hoc Networks. Computers, Materials and Continua, 68(1), 229–246. https://doi.org/10.32604/cmc.2021.015447.
  • Ahmed, M., Byreddy, S., Nutakki, A., Sikos, L., Haskell-Dowland, P. (2021). ECU-IoHT: A dataset for analyzing cyberattacks in Internet of Health Things. Ad Hoc Networks, 122(1 November 2021), Article number 102621. https://doi.org/10.1016/j.adhoc.2021.102621.
  • Rashid, B., Ahmed, M., Pathan, AK. (2021). Infrequent Pattern Detection for Reliable Network Traffic Analysis Using Robust Evolutionary Computation. Sensors, 21(9), Article number 3005. https://doi.org/10.3390/s21093005.

Conference Publications

  • Hur, A., Janjua, N., Ahmed, M. (2021). A Survey on State-of-the-art Techniques for Knowledge Graphs Construction and Challenges ahead. Proceedings - 2021 IEEE 4th International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2021 (99-103). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIKE52691.2021.00021.

2020

Book Chapters

  • Sadik, S., Ahmed, M., Hassan, MH. (2020). Blockchain in Healthcare. Blockchain in Data Analytics (234-253). Cambridge Scholars Publishing.
  • Sadik, S., Ahmed, M. (2020). An Overview of Dark Web. Security Analytics for the Internet of Everything (55-64). CRC Press. https://ro.ecu.edu.au/ecuworkspost2013/11914.
  • Al Fahdi, H., Ahmed, M. (2020). Cryptographic Attacks, Impacts and Countermeasures. Security Analytics for the Internet of Everything (217-232). CRC Press.
  • Chong, K., Ahmed, M., Islam, S. (2020). An Investigation of Performance Analysis of Machine Learning-Based Techniques for Network Anomaly Detection. Security Analytics for the Internet of Everything (117-156). CRC Press.
  • Bostami, B., Ahmed, M. (2020). Blockchain for Internet of Things. Blockchain in Data Analytics (24-51). Cambridge Scholars Publishing.
  • Rashid, T., Saeed, M., Ahmed, M. (2020). A New Era of Project Management Using Blockchain Technology. Blockchain in Data Analytics (102-121). Cambridge Scholars Publishing.
  • Furhad, MH., Sadik, S., Ahmed, M., Barkat, A. (2020). Exploring E-Commerce in Cyber Security Context Through Blockchain Technology. Blockchain in Data Analytics (216-233). Cambridge Scholars Publishing.
  • Saeed, M., Rashid, T., Ahmed, M. (2020). A Benefits Realization Approach to Cyber Security Projects Implementation in the Public Sector Organizations. Security Analytics for the Internet of Everything (93-114). CRC Press.
  • Seraj, R., Ahmed, M. (2020). Concept Drift for Big Data. Combating Security Challenges in the Age of Big Data (29-43). Springer. https://doi.org/10.1007/978-3-030-35642-2_2.
  • Bostami, B., Ahmed, M. (2020). Deep Learning Meets Malware Detection: An Investigation. Combating Security Challenges in the Age of Big Data (137-155). Springer. https://doi.org/10.1007/978-3-030-35642-2_7.

Journal Articles

Conference Publications

  • Moustafa, N., Ahmed, M., Ahmed, S. (2020). Data Analytics-Enabled Intrusion Detection: Evaluations of ToN_IoT Linux Datasets. 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (727-735). IEEE. https://doi.org/10.1109/TrustCom50675.2020.00100.
  • Furhad, MH., Ahmed, M., Barkat, A. (2020). A Study on Monitoring Coastal Areas for Having a Better Underwater Surveillance Perspective. Proceedings of International Joint Conference on Computational Intelligence IJCCI 2018 (163-174). Springer. https://doi.org/10.1007/978-981-13-7564-4_14.
  • Rashid, MM., Kamruzzaman, J., Ahmed, M., Islam, N., Wibowo, S., Gordon, S. (2020). Performance Enhancement of Intrusion detection System Using Bagging Ensemble Technique with Feature Selection. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) (1-5). IEEE. https://doi.org/10.1109/CSDE50874.2020.9411608.

2019

Book Chapters

Journal Articles

Conference Publications

  • Saeed, M., Ahmed, M. (2019). Evaluation Metrics for Big Data Project Management. Smart Grid and Internet of Things Second EAI International Conference, SGIoT 2018, Niagara Falls, ON, Canada, July 11, 2018 Proceedings (139-142). Springer. https://doi.org/10.1007/978-3-030-05928-6_14.
  • Ahmed, M., Barkat, A. (2019). Performance Analysis of Hard Clustering Techniques for Big IoT Data Analytics. Proceedings - 2019 Cybersecurity and Cyberforensics Conference, CCC 2019 (62-66). IEEE. https://doi.org/10.1109/CCC.2019.000-8.
  • Ahmed, M., Pathan, AK. (2019). Investigating Deep Learning for Collective Anomaly Detection - An Experimental Study. Security in Computing and Communications 6th International Symposium, SSCC 2018, Bangalore, India, September 19–22, 2018, Revised Selected Papers (211--219). Springer. https://doi.org/10.1007/978-981-13-5826-5_15.
  • Khandaker, S., Hussain, A., Ahmed, M. (2019). Effectiveness of Hard Clustering Algorithms for Securing Cyber Space. Smart Grid and Internet of Things Second EAI International Conference, SGIoT 2018, Niagara Falls, ON, Canada, July 11, 2018 Proceedings (113-120). Springer, Cham. https://doi.org/10.1007/978-3-030-05928-6_11.

2018

Book Chapters

  • Hassan, MM., Ahmed, M. (2018). Blockchain in the Era of Industry 4.0. Data Analytics Concepts, Techniques, and Applications (235-273). CRC Press. https://doi.org/10.1201/9780429446177-10.
  • Saeed, M., Ahmed, M. (2018). Project Management for Effective Data Analytics. Data Analytics Concepts, Techniques, and Applications (219-234). CRC Press. https://doi.org/10.1201/9780429446177-9.
  • Bostami, B., Ahmed, M. (2018). Intrusion Detection for Big Data. Data Analytics Concepts, Techniques, and Applications (375-402). CRC Press. https://doi.org/10.1201/9780429446177-15.
  • Ahmed, M., Haque, N. (2018). Anomaly Detection and Big Data in IPTV Networks. IPTV Delivery Networks: Next Generation Architectures for Live and Video-on-Demand Services (). John Wiley & Sons.
  • Ahmed, M., Barkat, A. (2018). Health Care Security Analytics. Data Analytics Concepts, Techniques, and Applications (403-416). CRC Press. https://doi.org/10.1201/9780429446177-16.

Journal Articles

Conference Publications

  • Ahmed, M., Ullah, A. (2018). False Data Injection Attacks in Healthcare. Data Mining. AusDM 2017. Communications in Computer and Information Science, vol 845 (192-202). Springer. https://doi.org/10.1007/978-981-13-0292-3_12.

2017

Book Chapters

  • Ahmed, M. (2017). Infrequent Pattern Identification in SCADA Systems Using Unsupervised Learning. Security Solutions and Applied Cryptography in Smart Grid Communications (215-225). IGI Global. https://doi.org/10.4018/978-1-5225-1829-7.ch011.

Journal Articles

Conference Publications

  • Ahmed, M., Choudhury, N., Uddin, S. (2017). Anomaly detection on big data in financial markets. ASONAM '17 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 (998-1001). ACM. https://doi.org/10.1145/3110025.3119402.

2016

Journal Articles

  • Ahmed, M., Mahmood, A., Hu, J. (2016). A survey of network anomaly detection techniques. Journal of Network and Computer Applications, 60(1 January 2016), 19-31. https://doi.org/10.1016/j.jnca.2015.11.016.
  • Ahmed, M., Mahmood, A., Islam, MR. (2016). A survey of anomaly detection techniques in financial domain. Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, 55(1 February 2016), 278-288. https://doi.org/10.1016/j.future.2015.01.001.

2015

Journal Articles

  • Ahmed, M., Mahmood, A., Maher, M. (2015). An Efficient Technique for Network Traffic Summarization using Multiview Clustering and Statistical Sampling. EAI Endorsed Transactions on Scalable Information Systems, 2(5), article no. e4. https://doi.org/10.4108/sis.2.5.e4.
  • Ahmed, M., Anwar, A., Mahmood, A., Shah, Z., Maher, M. (2015). An Investigation of Performance Analysis of Anomaly Detection Techniques for Big Data in SCADA Systems. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2(3), article no. e5. https://doi.org/10.4108/inis.2.3.e5.
  • Ahmed, M., Mahmood, A. (2015). Novel Approach for Network Traffic Pattern Analysis using Clustering-based Collective Anomaly Detection. Annals of Data Science, 2(1), 111-130. https://doi.org/10.1007/s40745-015-0035-y.

Conference Publications

  • Ahmed, M., Mahmood, A., Maher, M. (2015). Heart Disease Diagnosis Using Co-clustering. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) (61-70). Springer, Cham. https://doi.org/10.1007/978-3-319-16868-5_6.
  • Ahmed, M., Mahmood, A., Maher, M. (2015). An Efficient Approach for Complex Data Summarization Using Multiview Clustering. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) (38-47). Springer, Cham. https://doi.org/10.1007/978-3-319-16868-5_4.
  • Anwar, A., Mahmood, A., Ahmed, M. (2015). False Data Injection Attack Targeting the LTC Transformers to Disrupt Smart Grid Operation. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) (252-266). Springer, Cham. https://doi.org/10.1007/978-3-319-23802-9_20.
  • Ahmed, M., Mahmood, A., Maher, M. (2015). A Novel Approach for Network Traffic Summarization. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) (51-60). Springer, Cham. https://doi.org/10.1007/978-3-319-16868-5_5.
  • Ahmed, M., Mahmood, A. (2015). Network Traffic Pattern Analysis Using Improved Information Theoretic Co-clustering Based Collective Anomaly Detection. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) (204-219). Springer, Cham. https://doi.org/10.1007/978-3-319-23802-9_17.

2014

Conference Publications

  • Ahmed, M., Mahmood, A. (2014). Network traffic analysis based on collective anomaly detection. 2014 9th IEEE Conference on Industrial Electronics and Applications (1141–1146). IEEE.
  • Ahmed, M., Mahmood, A. (2014). Clustering based semantic data summarization technique: A new approach. 2014 9th IEEE Conference on Industrial Electronics and Applications (1780-1785). IEEE.

Research Projects

  • Securing DER Stability via a Trusted Sovereign Monitor for EV Charging Systems., Commonwealth Scientific and Industrial Research Organisation (CSIRO), Tender, 2025 ‑ 2026, $163,367.
  • Developing autonomous solutions for building knowledge graphs to support educational outcomes in Virtuoso, CingleVue International Pty Ltd, Scholarships to Support Industry Engagement PhD Projects , 2020 ‑ 2024, $150,000.
  • Augmenting Cyber Defence Capability (ACDC), Cyber Security Research Centre Ltd, Grant, 2022 ‑ 2024, $885,000.
  • CAESAR - Cyber Assurance in Energy Systems for Security and Resilience, Cyber Security Research Centre Ltd, Grant, 2023 ‑ 2024, $204,200.
  • Generating an Authentication Protocol for Western Australian's Smart Grid, Cyber Security Research Centre Ltd, Cyber Security Research Centre Masters Scholarship, 2022 ‑ 2024, $120,000.
  • Enabling Private and Secure Information Transmission by Covert Communications, Edith Cowan University, Early-Mid Career Researcher Grant Scheme 2022 (Stream 2), 2023 ‑ 2024, $38,322.
  • Multi-factor Authentication in Medical Contexts for Pharmaceutical Dispensary Functions , Cyber Security Research Centre Ltd, Cyber Security Research Centre Masters Scholarship, 2021 ‑ 2023, $120,000.
  • Heterogeneous Anomaly Detection from Network Traffic Streams using Data Summarization, Cyber Security Research Centre Ltd, Cyber Security Research Centre Masters Scholarship, 2020 ‑ 2022, $120,000.
  • Securing Internet of Medical Things against False Data Injection Attacks Using Blockchain, Edith Cowan University, ECU Early Career Researcher Grant - 2019, 2019 ‑ 2020, $25,000.

Research Student Supervision

Current Supervisions

Principal Supervisor

  • Master of Computing and Security by Research, A novel approach of identifying anomalous Crypto transactions using Temporal Blockchain Features and Machine Learning
  • Doctor of Philosophy, Design and evaluation of authentication protocols for smart grid to mitigate malicious data attacks

Completed Supervisions

Principal Supervisor

  • Doctor of Philosophy, Cooperative co-evolution-based feature selection for big data analytics
  • Doctor of Philosophy, Human Identification using Ear Biometrics: A Complete Pipeline from Detection to Recognition
  • Doctor of Philosophy, Cyber security risk management in large Australian healthcare systems - a mixed methods study
  • Master of Computing and Security by Research, Multi-factor Authentication in the Internet of Healthcare Things: An Adaptive Approach to Improve Dynamic Security Requirements.
  • Doctor of Philosophy, Zero-Day Malware Detection: Leveraging Dynamic Binary Instrumentation and Transformer Models for Effective Real-World Malware Classification
  • Master of Computing and Security by Research, Heterogeneous anomaly detection from network traffic streams using data summarization
  • Doctor of Philosophy, A Framework to Support Autonomous Construction of Knowledge Graphs from Unstructured Text

Associate Supervisor

  • Doctor of Philosophy, Simulation of Optical Coherence Tomography (OCT) Signal Propagation in Heart Tissue using Monte-Carlo Method and Detection of Ablated Lesions using Machine Learning – A Potential Application for Catheter Ablation in Atrial Fibrillation
  • Doctor of Philosophy, BEWARE – A Methodical Approach To Develop BEnign and MalWARE Datasets
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