Network, information security and AI applications

Our research interests and activities cover the whole range of digital communication between devices including computers, low resourced sensors and actuator devices, mobile phones and Bluetooth devices. We research and develop communication protocols to ensure efficient and effective communication for normal use as well as for emergency situations including natural and man-made disasters.

Ensuring the security of the network infrastructure, the communication channels, computer systems and devices against malicious activities by human and non-human actors is an overarching requirement. Security threats are persistent and widespread, demanding a variety of countermeasures. We research methods to protect and mitigate against these threats including cryptographic methods and protocols for data and device security, and develop and test intrusion detection and protection systems, advanced firewalls, authentication and authorisation mechanisms. Our research also includes operational aspects such as monitoring and managing networks and systems using advanced cybersecurity tools and services.

Research areas

  • Network security
    • Device security
    • Information security and privacy
    • Cryptography
    • Security protocols
    • IoT security
    • Intrusion detection and prevention systems
    • Human behaviour and security
    • Fraud detection
  • Network protocols and ad hoc networks for disaster
  • Cybersecurity operations

Current projects

  • Cryptographic algorithms for low resourced devices
  • Wireless security protocols
  • Applying enhanced AI towards detecting digital payment fraud
  • A  deep learning model and framework for fall detection
  • Cognitive analytics for the study of transfer of learning
  • A machine learning framework for data security in the mobile cloud
  • Privacy protection in machine learning
  • Fake news detection
  • Graph neural network based spatial-temporal traffic flow prediction
  • Design of an enhanced lightweight security gateway protocol for the edge layer
  • Defence countermeasures against cyberattack of cloud computing
  • Interference mitigation strategies for D2D enabled next-generation heterogeneous cellular networks
  • Analysing and improving round-trip time of tactile internet using multilevel cloud structure
  • Secure and scalable software defined network management for horizontal communications
  • Developing a safety-critical network framework for intelligent transportation systems
  • Decentralised virtualisation and monitoring of a self-organised multi-agent mobile wireless sensor networks
  • Secure flying area network (FANET) using blockchain


Theme leaders

Theme members

PhD students

  • Noah Oghenefego Ogwara
  • Mojgan Hafezi Fard
  • Aamer Khan
  • Nnamdi Lloyd Odenigbo
  • Alex Zhu
  • M. Kamruzzaman
  • Vaibhav Harihar Fanibhare
  • Sarada Hettiarachchi
  • Aneri Kamal Patel
  • Mohammad Syfullah
  • Amna Nisar

Master’s degree students

  • Chunjiang Mei
  • Jiyu Ding
  • Zhi Chen
  • Md Masum Reza