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Mr Andy Reed

BSc, PGCE, MSc

Profile summary

  • Regional Academic Staff
  • Staff Tutor
  • Faculty of Science, Technology, Engineering & Mathematics
  • School of Computing & Communications
  • andy.reed

Professional biography

I am a full-time member of the Open University. My main role is a staff tutor 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 personal and current Doctorial research is focused on low volume, slow DoS attacks on MANET- IoT systems (MANET-Internet of Things) 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. My teaching commitments with the OU are with TM257 and TM357 including networking, Cybersecurity and IoT (Internet of Things).

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. 

Publications

The Guardian Node Slow DoS Detection Model for Real-Time Application in IoT Networks (2024)
Reed, Andy; Dooley, Laurence and Kouadri Mostéfaoui, Soraya
Sensors, 24, Article 5581(17)

Exploring Knowledge Exchange. Barriers and perceptions (2023-07)
Reed, Andy; Loveys, Megan; Hatzipanagos, Stylianos; Hackett, Phil; Kouadri Mostéfaoui, Soraya and Collie, Jan
In : EdMedia + Innovate Learning (10 Jul 2023, Vienna) (pp. 1105-1111)

Packet Filtering and Sampling for Efficient Slow Denial of Service Detection in Resource Scarce IoT Networks (2023)
Reed, Andy; Dooley, Laurence and Koudri, Soraya
In : International Symposium on Networks, Computers and Communications (ISNCC'23) (23-26 Oct 2023, Doha, Qatar) (pp. 1-6)

A Reliable Real Time Slow Dos Detection Framework for Resource Constrained Iot Networks (2021-12)
Reed, Andy; Dooley, Laurence and Kouadri Mostéfaoui, Soraya
In : IEEE Global Telecommunications (GLOBECOM 2021) (7-11 Dec 2021, Madrid Spain)

Enhancing the Cyber Security Curriculum Through Experiential Learning (2021-06)
Reed, Andy and Gardner, Christine
In : Cyber Security Education Workshop 2021 (17 Jun 2021, Online)

A Slow DoS Detection Framework for Resource-Constrained IoT Networks (2021)
Reed, Andy
In : CRC PhD Conference 2021, The Open University (18 Jun 2021, Online)