Secure Accelerometer-Based Pairing of Mobile Devices in Multi-Modal Transport
We address the secure pairing of mobile devices based on accelerometer data under various transportation environments, e.g., train, tram, car, bike, walking, etc. As users commonly commute by several transportation modes, extracting session keys from various scenarios to secure the private network o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8950183/ |
| _version_ | 1818917860589699072 |
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| author | Bogdan Groza Adriana Berdich Camil Jichici Rene Mayrhofer |
| author_facet | Bogdan Groza Adriana Berdich Camil Jichici Rene Mayrhofer |
| author_sort | Bogdan Groza |
| collection | DOAJ |
| description | We address the secure pairing of mobile devices based on accelerometer data under various transportation environments, e.g., train, tram, car, bike, walking, etc. As users commonly commute by several transportation modes, extracting session keys from various scenarios to secure the private network of user's devices or even the public network formed by devices belonging to distinct users that share the same location is crucial. The main goal of our work is to establish the amount of entropy that can be collected from these environments in order to determine concrete security bounds for each environment. We test several signal processing techniques on the extracted data, e.g., low-pass and high-pass filters, then apply sigma-delta modulation in order to expand the size of the feature vectors and increase both the pairing success rate and security level. Further, we bootstrap secure session keys by the use of existing cryptographic building blocks EKE (Encrypted Key Exchange) and SPEKE (Simple Password Exponential Key Exchange). We implement our proof-of-concept application on Android smart-phones and take benefit from numerical processing environments for the off-line analysis of the collected datasets. |
| first_indexed | 2024-12-20T00:40:47Z |
| format | Article |
| id | doaj.art-8af4bcd6bcda4623b9185c142256f6a4 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T00:40:47Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8af4bcd6bcda4623b9185c142256f6a42022-12-21T19:59:36ZengIEEEIEEE Access2169-35362020-01-0189246925910.1109/ACCESS.2020.29641518950183Secure Accelerometer-Based Pairing of Mobile Devices in Multi-Modal TransportBogdan Groza0https://orcid.org/0000-0003-3078-3635Adriana Berdich1Camil Jichici2Rene Mayrhofer3Faculty of Automatics and Computers, Politehnica University of Timisoara, Timisoara, RomaniaFaculty of Automatics and Computers, Politehnica University of Timisoara, Timisoara, RomaniaFaculty of Automatics and Computers, Politehnica University of Timisoara, Timisoara, RomaniaInstitute of Networks and Security and LIT Secure and Correct Systems Lab, Johannes Kepler University Linz, Linz, AustriaWe address the secure pairing of mobile devices based on accelerometer data under various transportation environments, e.g., train, tram, car, bike, walking, etc. As users commonly commute by several transportation modes, extracting session keys from various scenarios to secure the private network of user's devices or even the public network formed by devices belonging to distinct users that share the same location is crucial. The main goal of our work is to establish the amount of entropy that can be collected from these environments in order to determine concrete security bounds for each environment. We test several signal processing techniques on the extracted data, e.g., low-pass and high-pass filters, then apply sigma-delta modulation in order to expand the size of the feature vectors and increase both the pairing success rate and security level. Further, we bootstrap secure session keys by the use of existing cryptographic building blocks EKE (Encrypted Key Exchange) and SPEKE (Simple Password Exponential Key Exchange). We implement our proof-of-concept application on Android smart-phones and take benefit from numerical processing environments for the off-line analysis of the collected datasets.https://ieeexplore.ieee.org/document/8950183/Authenticationcryptographymicrocontrollersnetwork security |
| spellingShingle | Bogdan Groza Adriana Berdich Camil Jichici Rene Mayrhofer Secure Accelerometer-Based Pairing of Mobile Devices in Multi-Modal Transport IEEE Access Authentication cryptography microcontrollers network security |
| title | Secure Accelerometer-Based Pairing of Mobile Devices in Multi-Modal Transport |
| title_full | Secure Accelerometer-Based Pairing of Mobile Devices in Multi-Modal Transport |
| title_fullStr | Secure Accelerometer-Based Pairing of Mobile Devices in Multi-Modal Transport |
| title_full_unstemmed | Secure Accelerometer-Based Pairing of Mobile Devices in Multi-Modal Transport |
| title_short | Secure Accelerometer-Based Pairing of Mobile Devices in Multi-Modal Transport |
| title_sort | secure accelerometer based pairing of mobile devices in multi modal transport |
| topic | Authentication cryptography microcontrollers network security |
| url | https://ieeexplore.ieee.org/document/8950183/ |
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