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Dr Mohiuddin Ahmed

Adjunct Academic

Staff Member Details
Email: mohiuddin.ahmed@ecu.edu.au
ORCID iD: https://orcid.org/0000-0002-4559-4768

Qualifications

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

Research Outputs

2025

Journal Articles

  • 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.
  • 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.
  • Gaber, M., Ahmed, M., Janicke, H. (2025). Defeating evasive malware with Peekaboo: Extracting authentic malware behavior with dynamic binary instrumentation. Journal of Information Security and Applications, 95(104290), 1-18. https://doi.org/10.1016/j.jisa.2025.104290.
  • 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.
  • Gaber, M., Ahmed, M., Janicke, H. (2025). Zero day malware detection with Alpha: Fast DBI with Transformer models for real world application. Computers and Electrical Engineering, 128, Part B(110751), 1-22. https://doi.org/10.1016/j.compeleceng.2025.110751.
  • 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.

Conference Publications

  • Hui, X., Karumba, S., Chau, SC., Ahmed, M. (2025). Destabilizing Power Grid and Energy Market by Cyberattacks on Smart Inverters. E-Energy '25: Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems (136-151). Association for Computing Machinery. https://doi.org/10.1145/3679240.3734613.

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

  • 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.
  • 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.
  • 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.
  • 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.

Conference Publications

  • 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.
  • 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.
  • 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.
  • 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

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Journal Articles

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Conference Publications

  • 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.
  • 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.

2022

Book Chapters

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Journal Articles

  • 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.
  • 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., 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., 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.
  • 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.
  • 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.
  • 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.
  • 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.

Conference Publications

  • 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.
  • 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..
  • 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, 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.

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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

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

  • 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.
  • Al Fahdi, H., Ahmed, M. (2020). Cryptographic Attacks, Impacts and Countermeasures. Security Analytics for the Internet of Everything (217-232). CRC Press.
  • 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.
  • Sadik, S., Ahmed, M., Hassan, MH. (2020). Blockchain in Healthcare. Blockchain in Data Analytics (234-253). 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.
  • 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.
  • 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.
  • Bostami, B., Ahmed, M. (2020). Blockchain for Internet of Things. Blockchain in Data Analytics (24-51). Cambridge Scholars Publishing.
  • 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

  • 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.
  • 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.
  • 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

  • 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.
  • 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.
  • 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., 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.

2018

Book Chapters

  • 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.
  • 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.
  • 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.
  • 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., 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.
  • 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.

2015

Journal Articles

  • 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., 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., 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. (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.
  • 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.
  • 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.
  • 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.

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

  • Dark Web Analytics for Ransomware Threat Actor Profiling, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Industry PhD (iPhD) Program, 2026 ‑ 2030, $318,926.
  • 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

Completed Supervisions

Principal Supervisor

  • 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
  • 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, 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

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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