Our work in anonymisation and encryption allows insights to be gleaned from data sets while maintaining the privacy of individuals.
How to confidently measure and understand privacy and confidentiality risks in data sharing.
Phishing has grown significantly since 2010 and is currently experiencing a huge surge during the COVID-19 pandemic. The dynamics of phishing attacks makes it highly challenging to implement a robust phishing detection system. However, a novel method is changing that.
We've developed a way to analyse data without seeing all the data, in such a way that preserves privacy and confidentiality while enabling richer data insights to be derived.
We've developed a practical and accessible guide to de-identification for those who handle personal information and need to share or release it.
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