Cognitive identity management: risks, trust and decisions using heterogeneous sources
Cognitive identity management: risks, trust and decisions using heterogeneous sources
This work advocates for cognitive biometric-enabled systems that integrate identity management, risk assessment and trust assessment. The cognitive identity management process is viewed as a multi-state dynamical system, and probabilistic reasoning is used for modeling of this process. This paper describes an approach to design a platform for risk and trust modeling and evaluation in the cognitive identity management built upon processing heterogeneous data including biometrics, other sensory data and digital ID. The core of an approach is the perception-action cycle of each system state. Inference engine is a causal network that uses various uncertainty metrics and reasoning mechanisms including Dempster-Shafer and Dezert- Smarandache beliefs.
biometrics, trust, cybersecurity
Yanushkevich, S.N.
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Howells, W.G.
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Crockett, K.A.
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O'Shea, J.
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Oliveira, H.C.R
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Guest, R.M.
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Shmerko, V.P.
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17 February 2020
Yanushkevich, S.N.
a636ef6b-2a0d-47aa-82f6-e2af8339ab2c
Howells, W.G.
ad936021-6246-46d3-ad6a-1daac809b7f6
Crockett, K.A.
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O'Shea, J.
21cde349-b493-4ac2-99b3-145ef8e7d39a
Oliveira, H.C.R
71ea6a4d-8a2b-4494-a513-994fc00df0d7
Guest, R.M.
93533dbd-b101-491b-83cc-39ccfdc18165
Shmerko, V.P.
5e7f8411-c5ab-470f-9990-7d0edd69bbcd
Yanushkevich, S.N., Howells, W.G., Crockett, K.A., O'Shea, J., Oliveira, H.C.R, Guest, R.M. and Shmerko, V.P.
(2020)
Cognitive identity management: risks, trust and decisions using heterogeneous sources.
In 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI).
IEEE.
10 pp
.
(doi:10.1109/CogMI48466.2019.00014).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This work advocates for cognitive biometric-enabled systems that integrate identity management, risk assessment and trust assessment. The cognitive identity management process is viewed as a multi-state dynamical system, and probabilistic reasoning is used for modeling of this process. This paper describes an approach to design a platform for risk and trust modeling and evaluation in the cognitive identity management built upon processing heterogeneous data including biometrics, other sensory data and digital ID. The core of an approach is the perception-action cycle of each system state. Inference engine is a causal network that uses various uncertainty metrics and reasoning mechanisms including Dempster-Shafer and Dezert- Smarandache beliefs.
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Published date: 17 February 2020
Keywords:
biometrics, trust, cybersecurity
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Local EPrints ID: 489581
URI: http://eprints.soton.ac.uk/id/eprint/489581
PURE UUID: 152d8476-6ec8-4444-9fb4-577bc794fb09
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Date deposited: 29 Apr 2024 16:33
Last modified: 30 Apr 2024 02:05
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Contributors
Author:
S.N. Yanushkevich
Author:
W.G. Howells
Author:
K.A. Crockett
Author:
J. O'Shea
Author:
H.C.R Oliveira
Author:
R.M. Guest
Author:
V.P. Shmerko
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