Society depends on the internet for online banking, and e-commerce transactions, providing an ideal setting for fraudsters to target vulnerable end-users. One common method of deceiving users is via phishing emails, where email recipients are enticed to reveal private information about themselves which is then used for fraudulent purposes. Therefore, engaging with phishing emails can place users at risk of identity theft, fraud, and financial loss. This Carnegie Trust funded research investigates methods of increasing security awareness via the implementation of interface design features to flag up potentially unsafe behaviour in email exchanges.
Risky security behaviour displayed by end-users has the potential to leave devices vulnerable to compromise, despite the availability of security tools designed to aid users in defending themselves against potential online threats. This indicates a need to raise end-user security awareness, allowing users to consider the security implications of online actions. The project (funded by a SICSA prize PhD studentship) investigated the use of a browser extension to monitor and automatically detect risky security behaviour. On detection of such behaviour, affective feedback was delivered to the end-user. The work analysed the impact of the feedback in relation to end-user security awareness.
Scotland’s Water Map project was developed for the Scottish Government. The project features an interactive 2D and 3D web application which maps the key water sector companies within the Scottish water industry. Towards the end of the project, Lynsay was hired as a web developer to put the finishing touches on the site.
The Online Psychology Test System was a joint project with the University of Dundee and Stanford University. Lynsay and a colleague were hired by Dr Madeleine Keehner at the University of Dundee to digitise existing psychology tests, producing a web application for use in a research project at Stanford University.
The work, “Determining Identity on Mobile Phones Using Keystroke Analysis” was an MSc research project. It established that users can generate a unique keystroke signature on a mobile phone, and could potentially provide an additional layer of security in an m-commerce environment.