Leveraging web and behavioural data for usable adaptive cybersecurityTools Addae, Joyce Hoese (2019) Leveraging web and behavioural data for usable adaptive cybersecurity. PhD thesis, University of Nottingham.
AbstractThere has been a general consensus in the computer security research community that the usability of cybersecurity is critical to maintaining and improving the security of information systems. However, the human element of cybersecurity is still not well understood hence the problem of designing security with unfriendly user interfaces persists. A major challenge in addressing the human component of cybersecurity is the lack of reliable behavioural data on users’ online security actions. This thesis establishes an integrated view of online security-related attitudes and behaviours to facilitate the personalisation of cybersecurity tools. To do this, a design research approach involving behavioural science and machine learning techniques is adopted for an in-depth analysis of users’ online security behaviour and implication for design of cybersecurity mechanisms.
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