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Associate Professor People

Mapp, Dr Glenford

Email: G.Mapp @ mdx.ac.uk
Office: TG03 Town Hall Building, Hendon Campus
Personal Website

About

  • Associate Professor

Research Interests

  • Cooperative Intelligent Transportation Systems (C-ITS)
  • Transport Protocols for Mobile Environments
  • The Y-Comm Framework
  • Intelligent Algorithms for Caching and Prefetching
  • Network Memory Servers

Publications Repository

Toward secure SDN infrastructure in smart cities: Kafka-enabled machine learning framework for anomaly detection

Karthick, G., Mapp, G. and Crowcroft, J. 2025. Toward secure SDN infrastructure in smart cities: Kafka-enabled machine learning framework for anomaly detection. Future Internet. 17 (9). https://doi.org/10.3390/fi17090415

The investigation of queuing models to calculate journey times to develop an intelligent transport system for smart cities

Mehta, V., Mapp, G. and Gandhi, V. 2025. The investigation of queuing models to calculate journey times to develop an intelligent transport system for smart cities. Future Internet. 17 (7). https://doi.org/10.3390/fi17070302

Addressing the interoperability of electronic health records: the technical and semantic interoperability, preserving privacy and security framework

Ademola, A., George, C. and Mapp, G. 2024. Addressing the interoperability of electronic health records: the technical and semantic interoperability, preserving privacy and security framework. Applied System Innovation. 7 (6). https://doi.org/10.3390/asi7060116

Digital forensics readiness in big data networks: a novel framework and incident response script for Linux-Hadoop environments

Mpungu, C., George, C. and Mapp, G. 2024. Digital forensics readiness in big data networks: a novel framework and incident response script for Linux-Hadoop environments. Applied System Innovation. 7 (5). https://doi.org/10.3390/asi7050090

Developing a secure service ecosystem to implement the intelligent edge environment for smart cities

Karthick, G. and Mapp, G. 2024. Developing a secure service ecosystem to implement the intelligent edge environment for smart cities. Future Internet. 16 (9). https://doi.org/10.3390/fi16090317

Enhancing digital forensics readiness in big data wireless medical networks: A secure decentralised framework

Mpungu, C, George, C. and Mapp, G. 2024. Enhancing digital forensics readiness in big data wireless medical networks: A secure decentralised framework. International Journal of Network Security & Its Applications (IJNSA) . 16 (4), pp. 13-30. https://doi.org/10.5121/ijnsa.2024.16402

Energy efficiency optimisation of joint computational task offloading and resource allocation using particle swarm optimisation approach in vehicular edge networks

Alam, A., Shah, P., Trestian, R., Ali, K. and Mapp, G. 2024. Energy efficiency optimisation of joint computational task offloading and resource allocation using particle swarm optimisation approach in vehicular edge networks. Sensors. 24 (10). https://doi.org/10.3390/s24103001

Joint energy and spectral optimization in Heterogeneous Vehicular Network

Alam, A., Ali, K., Trestian, R., Shah, P. and Mapp, G. 2023. Joint energy and spectral optimization in Heterogeneous Vehicular Network. Computer Networks. 238. https://doi.org/10.1016/j.comnet.2023.110111

Building an intelligent edge environment to provide essential services in smart cities

Karthick, G., Mapp, G. and Crowcroft, J. 2023. Building an intelligent edge environment to provide essential services in smart cities. 18th Workshop on Mobility in the Evolving Internet Architecture . Madrid, Spain 06 - 06 Oct 2023 New York, NY, United States Association for Computing Machinery (ACM). pp. 13-18 https://doi.org/10.1145/3615587.3615987

Developing a novel digital forensics readiness framework for wireless medical networks using specialised logging

Mpungu, C., George, C. and Mapp, G. 2023. Developing a novel digital forensics readiness framework for wireless medical networks using specialised logging. Jahankhani, H. (ed.) 14th ICGS3-22: International Conference on Global Security, Safety and Sustainability. Virtual Conference 07 - 08 Sep 2022 Springer. pp. 203-226 https://doi.org/10.1007/978-3-031-20160-8_12
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