Biometric identification system based on object interactions in Internet of Things environments
Attributing interactions with Internet of Things (IoT) devices to specific users in smart environments is extremely important as it enables personalized configurations and access control. This requirement is particularly stringent when it comes to parental control measures designed to protect childr...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
IEEE
2022
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| _version_ | 1826309119041077248 |
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| author | Krawiecka, K Birnbach, S Eberz, S Martinovic, I |
| author_facet | Krawiecka, K Birnbach, S Eberz, S Martinovic, I |
| author_sort | Krawiecka, K |
| collection | OXFORD |
| description | Attributing interactions with Internet of Things
(IoT) devices to specific users in smart environments is extremely
important as it enables personalized configurations and access
control. This requirement is particularly stringent when it comes
to parental control measures designed to protect children from
contact with dangerous machinery or viewing materials that are
inappropriate for their age. To this end, we show that naturally
occurring interactions with objects in smart environments can
be used as a behavioral biometric in order to identify users. The
heterogeneous nature of smart devices enables the collection of
a wide variety of inputs from such interactions. In addition, this
system model allows for seamless identification, without the need
for active user participation or rearrangement of the IoT devices.
We conduct a remote study taking place in six households
composed of 25 participants. We demonstrate that our system
can identify users in multi-user environments with an average
accuracy of at least 91% for a single object interaction without
requiring any sensors on the object itself. This accuracy rises to
100% when six or more consecutive interactions are considered. |
| first_indexed | 2024-03-07T07:29:25Z |
| format | Conference item |
| id | oxford-uuid:ca4f1814-92ee-4145-bf3f-7e369140831e |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:29:25Z |
| publishDate | 2022 |
| publisher | IEEE |
| record_format | dspace |
| spelling | oxford-uuid:ca4f1814-92ee-4145-bf3f-7e369140831e2023-01-04T08:35:11ZBiometric identification system based on object interactions in Internet of Things environmentsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:ca4f1814-92ee-4145-bf3f-7e369140831eEnglishSymplectic ElementsIEEE2022Krawiecka, KBirnbach, SEberz, SMartinovic, IAttributing interactions with Internet of Things (IoT) devices to specific users in smart environments is extremely important as it enables personalized configurations and access control. This requirement is particularly stringent when it comes to parental control measures designed to protect children from contact with dangerous machinery or viewing materials that are inappropriate for their age. To this end, we show that naturally occurring interactions with objects in smart environments can be used as a behavioral biometric in order to identify users. The heterogeneous nature of smart devices enables the collection of a wide variety of inputs from such interactions. In addition, this system model allows for seamless identification, without the need for active user participation or rearrangement of the IoT devices. We conduct a remote study taking place in six households composed of 25 participants. We demonstrate that our system can identify users in multi-user environments with an average accuracy of at least 91% for a single object interaction without requiring any sensors on the object itself. This accuracy rises to 100% when six or more consecutive interactions are considered. |
| spellingShingle | Krawiecka, K Birnbach, S Eberz, S Martinovic, I Biometric identification system based on object interactions in Internet of Things environments |
| title | Biometric identification system based on object interactions in Internet of Things environments |
| title_full | Biometric identification system based on object interactions in Internet of Things environments |
| title_fullStr | Biometric identification system based on object interactions in Internet of Things environments |
| title_full_unstemmed | Biometric identification system based on object interactions in Internet of Things environments |
| title_short | Biometric identification system based on object interactions in Internet of Things environments |
| title_sort | biometric identification system based on object interactions in internet of things environments |
| work_keys_str_mv | AT krawieckak biometricidentificationsystembasedonobjectinteractionsininternetofthingsenvironments AT birnbachs biometricidentificationsystembasedonobjectinteractionsininternetofthingsenvironments AT eberzs biometricidentificationsystembasedonobjectinteractionsininternetofthingsenvironments AT martinovici biometricidentificationsystembasedonobjectinteractionsininternetofthingsenvironments |