Title

Insider misuse identification using transparent biometrics

Document Type

Conference Proceeding

Publisher

University of Hawaii

School

Security Research Institute

RAS ID

26014

Comments

Originally published as: Clarke, N., Li, F., Alruban, A., & Furnell, S. (2017). Insider misuse identification using transparent biometrics. In Proceedings of the Hawaii International Conference on System Sciences 2017. (pp. 4031-4040). Original article available here

Abstract

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 last interacted with the object and b) uniquely applied to network traffic in order to identify users traffic (independent of the Internet Protocol address) so that users rather than machine (IP) traffic can be more usefully analyzed by analysts. Results from two experimental studies are presented and illustrate how reliably transparent biometrics are in providing this link-ability of information to identity.

DOI

10.24251/HICSS.2017.487

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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