IoT and infrastructure

Enhancing Anomaly Detection in Smart Water Metering Networks with LSTM-Autoencoder and Data Augmentation Techniques

Nelago Kanyama M.; Bhunu Shava F.; Gamundani A.M.; Hartmann A. (2024). Enhancing Anomaly Detection in Smart Water Metering Networks with LSTM -Autoencoder and Data Augmentation Techniques. Proceedings of 2024 4th International Multidisciplinary Information Technology and Engineering Conference, IMITEC 2024, 20–28.

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Investigation of Machine Learning-Inspired Security Controls Used in Protecting Health Critical Infrastructure from Advanced Persistent Threat Attacks: Review

Morolong M.; Gamundani A.; Shava F.B. (2024). Investigation of Machine Learning-Inspired Security Controls Used in Protecting Health Critical Infrastructure from Advanced Persistent Threat Attacks: Review. 2024 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2024 – Proceedings, 207–216.

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A Scalable and Lightweight Authentication Architecture for the Internet of Things (IoT) in Smart Home Applications

Gamundani A.M.; Phillips A.; Muyingi H.N. (2023). A Scalable and Lightweight Authentication Architecture for the Internet of Things (IoT) in Smart Home Applications. Proceedings of 2023 2nd Zimbabwe Conference on Information Communication and Technology, ZCICT 2023.

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Blockchain Technology Approach on Securing Smart Water Metering Networks Toward Anomaly Free: An Overview and Future Research Directions

Kanyama M.N.; Bhunu Shava F.; Gamundani A.M.; Hartmann A. (2023). Blockchain Technology Approach on Securing Smart Water Metering Networks Toward Anomaly Free: An Overview and Future Research Directions. Lecture Notes in Networks and Systems, 711 LNNS, 1345–1360.

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A Review and Costing of Lightweight Authentication Schemes for Internet of Things (IoT): Towards Design of an Authentication Architecture for Smart Home Applications

Gamundani A.M.; Phillips A.; Muyingi H.N. (2018). A review and costing of lightweight authentication schemes for internet of things (IoT): Towards design of an authentication architecture for smart home applications. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 255, 375–390.

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HPC-Enabled Video-based Coastal Wave Parameter Estimation Using V-JEPA and Deep Spatiotemporal Learning

Abubakar Hamisu Kamagata; Dharm Singh Jat; Attlee Munyaradzi Gamundani; Saravanakumar Paramasivam; Babangida Sani; Aliyu Zakariyya (2026). HPC-Enabled Video-based Coastal Wave Parameter Estimation Using V-JEPA and Deep Spatiotemporal Learning. arXiv preprint.

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