Cognitive identity management: synthetic data, risk and trust
Cognitive identity management: synthetic data, risk and trust
Synthetic, or artificial data is used in security applications such as protection of sensitive information, prediction of rare events, and training neural networks. Risk and trust are assessed specifically for a given kind of synthetic data and particular application. In this paper, we consider a more complicated scenario, ? biometric-enabled cognitive cognitive biometric-enabled identity management, in which multiple kinds of synthetic data are used in addition to authentic data. For example, authentic biometric traits can be used to train the intelligent tools to identify humans, while synthetic, algorithmically generated data can be used to expand the training set or to model extreme situations. This paper is dedicated to understanding the potential impact of synthetic data on the cognitive checkpoint performance, and risk and trust prediction.
Synthetic data, cognitive identity management, risk, trust, bias, computational intelligence
Yanushkevich, S.
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Stoica, A.
323ffe1f-e2b6-4b3d-9909-f508c7fb6d46
Shmerko, P.
5e7f8411-c5ab-470f-9990-7d0edd69bbcd
Howells, W.
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Crockett, K.
c31ea8d9-767f-4b49-9844-c1a8c7693eda
Guest, R.
93533dbd-b101-491b-83cc-39ccfdc18165
29 September 2020
Yanushkevich, S.
a636ef6b-2a0d-47aa-82f6-e2af8339ab2c
Stoica, A.
323ffe1f-e2b6-4b3d-9909-f508c7fb6d46
Shmerko, P.
5e7f8411-c5ab-470f-9990-7d0edd69bbcd
Howells, W.
ad936021-6246-46d3-ad6a-1daac809b7f6
Crockett, K.
c31ea8d9-767f-4b49-9844-c1a8c7693eda
Guest, R.
93533dbd-b101-491b-83cc-39ccfdc18165
Yanushkevich, S., Stoica, A., Shmerko, P., Howells, W., Crockett, K. and Guest, R.
(2020)
Cognitive identity management: synthetic data, risk and trust.
In 2020 International Joint Conference on Neural Networks (IJCNN).
IEEE.
8 pp
.
(doi:10.1109/IJCNN48605.2020.9207385).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Synthetic, or artificial data is used in security applications such as protection of sensitive information, prediction of rare events, and training neural networks. Risk and trust are assessed specifically for a given kind of synthetic data and particular application. In this paper, we consider a more complicated scenario, ? biometric-enabled cognitive cognitive biometric-enabled identity management, in which multiple kinds of synthetic data are used in addition to authentic data. For example, authentic biometric traits can be used to train the intelligent tools to identify humans, while synthetic, algorithmically generated data can be used to expand the training set or to model extreme situations. This paper is dedicated to understanding the potential impact of synthetic data on the cognitive checkpoint performance, and risk and trust prediction.
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Published date: 29 September 2020
Keywords:
Synthetic data, cognitive identity management, risk, trust, bias, computational intelligence
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Local EPrints ID: 489588
URI: http://eprints.soton.ac.uk/id/eprint/489588
PURE UUID: 5aee1a0e-3b33-4ec6-ac42-da73bf271d40
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Date deposited: 29 Apr 2024 16:37
Last modified: 30 Apr 2024 02:05
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Contributors
Author:
S. Yanushkevich
Author:
A. Stoica
Author:
P. Shmerko
Author:
W. Howells
Author:
K. Crockett
Author:
R. Guest
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