<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Multiple Human Biometrics Fusion in Support of Cyberthreats Identification

Institute of Information and Communication Technologies, BAS, Acad. Georgi Bonchev Str., Bl 2, 1113 Sofia, Bulgaria

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Multiple Human Biometrics Fusion in Support of Cyberthreats Identification"}

The paper is outlining an experimentally created framework for multiple human biometrics fusion in support to constantly evolving complex cyberthreats...

Multiple Human Biometrics Fusion in Support of Cyberthreats Identification

Online veröffentlicht: 19. Jan. 2016

Seitenbereich: 67 - 76

DOI: https://doi.org/10.1515/cait-2015-0090

Schlüsselwörter
Biometrics fusion, complex cyberthreats identification, scenario method, decision support, validation-in-advance

© 2015 Zlatogor Minchev, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Multiple Human Biometrics Fusion in Support of Cyberthreats Identification

Online veröffentlicht: 19. Jan. 2016

Seitenbereich: 67 - 76

DOI: https://doi.org/10.1515/cait-2015-0090

SchlüsselwörterBiometrics fusion, complex cyberthreats identification, scenario method, decision support, validation-in-advance

© 2015 Zlatogor Minchev, published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Biometrics fusion, complex cyberthreats identification, scenario method, decision support, validation-in-advance