Matthew, Peter 
ORCID: 0000-0002-8363-0715 and Canning, Susan ORCID: 0000-0002-3589-5671
(2020)
An algorithmic approach for optimising biometric systems using liveness and coercion detection.
Computers & Security, 94.
p. 101831.
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Abstract
This paper looks at the possibility of creating an algorithm that will combine liveness and coercion modalities, along with organisational factors such as workforce composition. This algorithm will produce a security value, which can then be compared with other combinations of modalities, therefore, providing a way to test potential security setups without having to tangibly implement them. An experimental methodology has been used, focusing on the development of the algorithm, and the associated effects of it. The hypothesis is that the algorithm can produce a value that can further be used to compare different setups of biometric security. This comparative value can be used to discover the best combinations of modalities for fusion development or practical installation. After testing, the algorithm is proved to work as it creates an appropriate value, called the security value, which can then be compared with other setups to find the most suitable for a given situation. There are some issues with this primarily due to data provision, the requirements for more data to parse through the algorithm, and finally, the need for a suitable interface, otherwise it may be too complex for efficient usage in a traditional security environment. This algorithm provides a specific security value that can be applied to a variety of situations, for example, there are potential implications within a general security application; such as liveness and coercion multimodal fusion, autonomous system development and pervasive environments; such as allowing dynamic security systems to be developed. However the main focus of this algorithm is to highlight the fusion of liveness and coercion detection, and how they can be best applied to specific security scenarios.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Biometric Security, Liveness, Coercion, Autonomic Computing, Self-Optimisation, Fusion, Personalised Security |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 12 Nov 2020 11:31 |
| Last Modified: | 18 Jan 2023 23:23 |
| DOI: | 10.1016/j.cose.2020.101831 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3105959 |
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