OUPPS (Open University People Profile System)

Biography

Professional biography

I am a full-time member of the Open University. My main role is a staff tutor & lecturer in cyber security and computer networks in the school of computing and communications in the STEM faculty.

My personal interests include windsurfing, surfing and paddle-boarding around Cornwall, when the weather permits.

Research interests

I studied for an MSc in advanced Networking with the OU in 2012 and completed a dissertation investigating Denial of Service (DoS) issues faced by UK SMEs. My PhD focused on low volume, slow DoS attacks on time sensitive IoT systems and how intrusion detection in these resource constrained systems can be improved.

Teaching interests

I am also the module chair for T829 – Enterprise Networking which is aligned to the PG cert in advanced Networking. I also Chair a level 1 module TM129 - Technologies in Practice, covering Network, security, operating systems, along with IoT (Internet of Things) and robitic automation. My teaching commitments with the OU are with TM257 and TM357 including networking, Cybersecurity and IoT .

External collaborations

I am currently an academic reviewer for South West College (NI) for the BSc (top up) computing degree and the FdSc in Cyber security.

Journal Article

Minimal Overhead Modelling of Slow DoS Attack Detection for Resource-Constrained IoT Networks

Reed, A., Dooley, L. S., & Kouadri Mostefaoui, S. (2025). Minimal Overhead Modelling of Slow DoS Attack Detection for Resource-Constrained IoT Networks. Future Internet, 17(10), 432.

SA-IDS: A single attribute intrusion detection system for Slow DoS attacks in IoT networks

Reed, A., Dooley, L., & Kouadri Mostéfaoui, S. (2025). SA-IDS: A single attribute intrusion detection system for Slow DoS attacks in IoT networks. Internet of Things, 30, 101512.

The Guardian Node Slow DoS Detection Model for Real-Time Application in IoT Networks

Reed, A., Dooley, L., & Kouadri Mostéfaoui, S. (2024). The Guardian Node Slow DoS Detection Model for Real-Time Application in IoT Networks. Sensors, 24(17), 5581.

Presentation / Conference Contribution

Investigating the integration of vendor certifications within computing modules

Singh, A., Reed, A., Smith, A., Mcdade, D., & Hartnett, E. (2025, June 30-July 2). Investigating the integration of vendor certifications within computing modules. 17th International Conference on Education and New Learning Technologies.

Exploring Knowledge Exchange. Barriers and perceptions

Reed, A., Loveys, M., Hatzipanagos, S., Hackett, P., Kouadri Mostéfaoui, S., & Collie, J. (2023, July 10). Exploring Knowledge Exchange. Barriers and perceptions. EdMedia + Innovate Learning.

Packet Filtering and Sampling for Efficient Slow Denial of Service Detection in Resource Scarce IoT Networks

Reed, A., Dooley, L., & Koudri, S. (2023, October 23-26). Packet Filtering and Sampling for Efficient Slow Denial of Service Detection in Resource Scarce IoT Networks. International Symposium on Networks, Computers and Communications (ISNCC'23).

A Reliable Real Time Slow Dos Detection Framework for Resource Constrained Iot Networks

Reed, A., Dooley, L., & Kouadri Mostéfaoui, S. (2021, December 7-11). A Reliable Real Time Slow Dos Detection Framework for Resource Constrained Iot Networks. IEEE Global Telecommunications (GLOBECOM 2021).

Enhancing the Cyber Security Curriculum Through Experiential Learning

Reed, A., & Gardner, C. (2021, June 17). Enhancing the Cyber Security Curriculum Through Experiential Learning. Cyber Security Education Workshop 2021.

A Reliable Real-Time Slow DoS Detection Framework for Resource-Constrained IoT Networks

Reed, A. (n.d.). A Reliable Real-Time Slow DoS Detection Framework for Resource-Constrained IoT Networks. CRC PhD Conference 2021, The Open University.