Hello, my name's Simon, I specialise in web software engineering and cyber security. I create reliable and robust solutions that leverage modern programming languages and technologies — backed by strong development and research skills.
Cloud-based news feed reader that updates automatically. News feeds can be viewed across multiple devices.
Measurement infrastructure I built as part of my PhD to track and analyse real-world phishing attacks on Twitter.
Thesis title: How Many Phish Can Tweet? Investigating the Effectiveness of Twitter's Phishing and Malware Defence System.
Thesis summary: an empirical, data-driven approach to investigate cybercrime on Twitter. We conduct numerous measurement studies to analyse Twitter’s phishing and malware threat intelligence and defence mechanisms. Results explore how well-protected Twitter users are against cyber-attacks.
My thesis was conducted under the supervision of Professor Peter Komisarczuk, Professor Kenny Paterson, and Professor Lorenzo Cavallaro at the Information Security Group (ISG), Royal Holloway, University of London.
For my BSc in Computer Science final year project I built an SSH honeypot in C. I then deployed the honeypot to AWS to collect and analyse empirical data on SSH cyber-attacks.
More info at: secureHoney.net
Winner of the Best Paper and Best Student Paper awards:
BELL, S., AND KOMISARCZUK, P. "Measuring the Effectiveness of Twitter’s URL Shortener (t.co) at Protecting Users from Phishing and Malware Attacks". In Proceedings of the Australasian Computer Science Week Multiconference (2020). Link to paper.
BELL, S., AND KOMISARCZUK, P. "An Analysis of Phishing Blacklists: Google Safe Browsing, OpenPhish, and PhishTank". In Proceedings of the Australasian Computer Science Week Multiconference (2020). Link to paper.
BELL, S., PATERSON, K., AND CAVALLARO, L. "Catch Me (On Time) If You Can: Understanding the Effectiveness of Twitter URL Blacklists". arXiv preprint arXiv:1912.02520 (2019). Link to paper.
Winner of the BCS's (The Chartered Institute for IT) Best Computer Science Project award:
BELL, S. "Building a Honeypot to Research Cyber-Attack Techniques". School of Engineering and Informatics, University of Sussex (2014). Link to dissertation.