BeeHIVE: behavioral biometric system based on object interactions in smart environments
The lack of standard input interfaces in Internet of Things (IoT) ecosystems presents a challenge in securing such infrastructures. To tackle this challenge, we introduce a novel behavioral biometric system based on naturally occurring interactions with objects in smart environments. This biometric...
| Main Authors: | , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
SciTePress
2023
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| _version_ | 1826310863817015296 |
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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 | The lack of standard input interfaces in Internet of Things (IoT) ecosystems presents a challenge in securing
such infrastructures. To tackle this challenge, we introduce a novel behavioral biometric system based on naturally occurring interactions with objects in smart environments. This biometric leverages existing sensors to
authenticate users without requiring any hardware modifications of existing smart home devices. The system
is designed to reduce the need for phone-based authentication mechanisms, on which smart home systems
currently rely. It requires the user to approve transactions on their phone only when the user cannot be authenticated with high confidence through their interactions with the smart environment. We conduct a real-world
experiment that involves 13 participants in a company environment. We show that this system can provide
seamless and unobtrusive authentication while still remaining highly resistant to zero-effort, video, and inperson observation-based mimicry attacks. Even when at most 1% of the strongest type of mimicry attacks
are successful, our system does not require the user to take out their phone to approve legitimate transactions
in more than 84% of cases for a single interaction. This increases to 93% of transactions when interactions
with more objects are considered. |
| first_indexed | 2024-03-07T07:59:48Z |
| format | Conference item |
| id | oxford-uuid:f4ab6006-b843-4e69-9f7e-836721663470 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:59:48Z |
| publishDate | 2023 |
| publisher | SciTePress |
| record_format | dspace |
| spelling | oxford-uuid:f4ab6006-b843-4e69-9f7e-8367216634702023-09-13T10:28:05ZBeeHIVE: behavioral biometric system based on object interactions in smart environmentsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:f4ab6006-b843-4e69-9f7e-836721663470EnglishSymplectic ElementsSciTePress2023Krawiecka, KBirnbach, SEberz, SMartinovic, IThe lack of standard input interfaces in Internet of Things (IoT) ecosystems presents a challenge in securing such infrastructures. To tackle this challenge, we introduce a novel behavioral biometric system based on naturally occurring interactions with objects in smart environments. This biometric leverages existing sensors to authenticate users without requiring any hardware modifications of existing smart home devices. The system is designed to reduce the need for phone-based authentication mechanisms, on which smart home systems currently rely. It requires the user to approve transactions on their phone only when the user cannot be authenticated with high confidence through their interactions with the smart environment. We conduct a real-world experiment that involves 13 participants in a company environment. We show that this system can provide seamless and unobtrusive authentication while still remaining highly resistant to zero-effort, video, and inperson observation-based mimicry attacks. Even when at most 1% of the strongest type of mimicry attacks are successful, our system does not require the user to take out their phone to approve legitimate transactions in more than 84% of cases for a single interaction. This increases to 93% of transactions when interactions with more objects are considered. |
| spellingShingle | Krawiecka, K Birnbach, S Eberz, S Martinovic, I BeeHIVE: behavioral biometric system based on object interactions in smart environments |
| title | BeeHIVE: behavioral biometric system based on object interactions in smart environments |
| title_full | BeeHIVE: behavioral biometric system based on object interactions in smart environments |
| title_fullStr | BeeHIVE: behavioral biometric system based on object interactions in smart environments |
| title_full_unstemmed | BeeHIVE: behavioral biometric system based on object interactions in smart environments |
| title_short | BeeHIVE: behavioral biometric system based on object interactions in smart environments |
| title_sort | beehive behavioral biometric system based on object interactions in smart environments |
| work_keys_str_mv | AT krawieckak beehivebehavioralbiometricsystembasedonobjectinteractionsinsmartenvironments AT birnbachs beehivebehavioralbiometricsystembasedonobjectinteractionsinsmartenvironments AT eberzs beehivebehavioralbiometricsystembasedonobjectinteractionsinsmartenvironments AT martinovici beehivebehavioralbiometricsystembasedonobjectinteractionsinsmartenvironments |