What is it about?
The paper is outlining an experimentally created framework for multiple human biometrics fusion in support to constantly evolving complex cyberthreats landscape identification. A “scenario method” approach, in combination with experts’ based decision support and users’ biometric “validation-in-advance”, are considered. Practical examples are also given to the proposed ideas, providing a comprehensive outlook to the problem.
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Why is it important?
The proposed experimental framework is giving a comprehensive research outlook towards the problem of future cyberspace threats evolution and countering, using expert data, system analysis and multiple biometric "validation-in-advance” fused implementations.
Perspectives
Further progress is planned towards: (i) the organization of statistically significant big data of numerical experiments for generating probabilistic models that will provide a comparative base towards apriori biometrics matrix coefficient assessments; (ii) exploring multiple biometrics fusion at the level of selected metric characteristics coupling (e.g., phase synchronization of different biometric trends dynamics, similar to dynamic systems coupling) or even cause-effect proportional functional discoveries.
Zlatogor Minchev
Balgarska academija na naukite
Read the Original
This page is a summary of: Multiple Human Biometrics Fusion in Support of Cyberthreats Identification, Cybernetics and Information Technologies, January 2015, De Gruyter,
DOI: 10.1515/cait-2015-0090.
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