Behavioural biometrics using electricity load profiles
Behavioural biometrics using electricity load profiles
Modelling behavioural biometric patterns is a key issue for modern user centric applications, aimed at better monitoring users’ activities, understanding their habits and detecting their identity. Following this trend, this paper investigates whether the electrical energy consumption of a user can be a distinctive behavioural biometric trait. In particular we analyse daily and weekly load profiles showing that they are closely related to the identity of the users. Hence, we believe that this level of analysis can open interesting application scenarios in the field of energy management and it provides a good working framework for the continuous development of smart environments with demonstrable benefits on real-world implementations
Bicego, Manuele
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Recchia, F.
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Farinelli, Alessandro
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Ramchurn, Sarvapali
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Grosso, E.
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August 2014
Bicego, Manuele
5ce9ea10-73a1-47a1-bcce-9cc45ba588fa
Recchia, F.
9f257297-0b60-40a0-a702-b5b3a3fa8238
Farinelli, Alessandro
d2f26070-f403-4cae-b712-7097cb2e3fc6
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Grosso, E.
19763d21-d4d3-46f9-b897-aeb21e86713a
Bicego, Manuele, Recchia, F., Farinelli, Alessandro, Ramchurn, Sarvapali and Grosso, E.
(2014)
Behavioural biometrics using electricity load profiles.
International Conference on Pattern Recognition, Stockholm, Sweden.
24 - 28 Aug 2014.
6 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Modelling behavioural biometric patterns is a key issue for modern user centric applications, aimed at better monitoring users’ activities, understanding their habits and detecting their identity. Following this trend, this paper investigates whether the electrical energy consumption of a user can be a distinctive behavioural biometric trait. In particular we analyse daily and weekly load profiles showing that they are closely related to the identity of the users. Hence, we believe that this level of analysis can open interesting application scenarios in the field of energy management and it provides a good working framework for the continuous development of smart environments with demonstrable benefits on real-world implementations
Text
CR_v1.pdf
- Author's Original
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Published date: August 2014
Venue - Dates:
International Conference on Pattern Recognition, Stockholm, Sweden, 2014-08-24 - 2014-08-28
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 370006
URI: http://eprints.soton.ac.uk/id/eprint/370006
PURE UUID: 991b6153-88fd-4c7e-af3d-357cf8398b03
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Date deposited: 20 Oct 2014 10:37
Last modified: 15 Mar 2024 03:22
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Contributors
Author:
Manuele Bicego
Author:
F. Recchia
Author:
Alessandro Farinelli
Author:
Sarvapali Ramchurn
Author:
E. Grosso
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