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Insider Misuse Identification Using Transparent Biometrics, Nathan Clarke, Fudong Li, Abdulrahman Alruban, Steven Furnell
Insider Misuse Identification Using Transparent Biometrics, Nathan Clarke, Fudong Li, Abdulrahman Alruban, Steven Furnell
Research outputs 2014 to 2021
Insider misuse is a key threat to organizations. Recent research has focused upon the information itself – either through its protection or approaches to detect the leakage. This paper seeks a different approach through the application of transparent biometrics to provide a robust approach to the identification of the individuals who are misusing systems and information. Transparent biometrics are a suite of modalities, typically behavioral-based that can capture biometric signals covertly or non-intrusively – so the user is unaware of their capture. Transparent biometrics are utilized in two phases a) to imprint digital objects with biometric-signatures of the user who …