R2NA: Received Signal Strength (RSS) Ratio-Based Node Authentication for Body Area Network
The body area network (BAN) is an emerging branch of wireless sensor networks for personalized applications. The services in BAN usually have a high requirement on security, especially for the medical diagnosis. One of the fundamental directions to ensure security in BAN is how to provide node authe...
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MDPI AG
2013-12-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/13/12/16512 |
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author | Yang Wu Kai Wang Yongmei Sun Yuefeng Ji |
author_facet | Yang Wu Kai Wang Yongmei Sun Yuefeng Ji |
author_sort | Yang Wu |
collection | DOAJ |
description | The body area network (BAN) is an emerging branch of wireless sensor networks for personalized applications. The services in BAN usually have a high requirement on security, especially for the medical diagnosis. One of the fundamental directions to ensure security in BAN is how to provide node authentication. Traditional research using cryptography relies on prior secrets shared among nodes, which leads to high resource cost. In addition, most existing non-cryptographic solutions exploit out-of-band (OOB) channels, but they need the help of additional hardware support or significant modifications to the system software. To avoid the above problems, this paper presents a proximity-based node authentication scheme, which only uses wireless modules equipped on sensors. With only one sensor and one control unit (CU) in BAN, we could detect a unique physical layer characteristic, namely, the difference between the received signal strength (RSS) measured on different devices in BAN. Through the above-mentioned particular difference, we can tell whether the sender is close enough to be legitimate. We validate our scheme through both theoretical analysis and experiments, which are conducted on the real Shimmer nodes. The results demonstrate that our proposed scheme has a good security performance. |
first_indexed | 2024-04-13T08:50:43Z |
format | Article |
id | doaj.art-29e990e49cce47d98a8a391d8a5fbf66 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-13T08:50:43Z |
publishDate | 2013-12-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-29e990e49cce47d98a8a391d8a5fbf662022-12-22T02:53:29ZengMDPI AGSensors1424-82202013-12-011312165121653210.3390/s131216512s131216512R2NA: Received Signal Strength (RSS) Ratio-Based Node Authentication for Body Area NetworkYang Wu0Kai Wang1Yongmei Sun2Yuefeng Ji3State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaState Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaThe body area network (BAN) is an emerging branch of wireless sensor networks for personalized applications. The services in BAN usually have a high requirement on security, especially for the medical diagnosis. One of the fundamental directions to ensure security in BAN is how to provide node authentication. Traditional research using cryptography relies on prior secrets shared among nodes, which leads to high resource cost. In addition, most existing non-cryptographic solutions exploit out-of-band (OOB) channels, but they need the help of additional hardware support or significant modifications to the system software. To avoid the above problems, this paper presents a proximity-based node authentication scheme, which only uses wireless modules equipped on sensors. With only one sensor and one control unit (CU) in BAN, we could detect a unique physical layer characteristic, namely, the difference between the received signal strength (RSS) measured on different devices in BAN. Through the above-mentioned particular difference, we can tell whether the sender is close enough to be legitimate. We validate our scheme through both theoretical analysis and experiments, which are conducted on the real Shimmer nodes. The results demonstrate that our proposed scheme has a good security performance.http://www.mdpi.com/1424-8220/13/12/16512authenticationbody area networksensorRSS ratio |
spellingShingle | Yang Wu Kai Wang Yongmei Sun Yuefeng Ji R2NA: Received Signal Strength (RSS) Ratio-Based Node Authentication for Body Area Network Sensors authentication body area network sensor RSS ratio |
title | R2NA: Received Signal Strength (RSS) Ratio-Based Node Authentication for Body Area Network |
title_full | R2NA: Received Signal Strength (RSS) Ratio-Based Node Authentication for Body Area Network |
title_fullStr | R2NA: Received Signal Strength (RSS) Ratio-Based Node Authentication for Body Area Network |
title_full_unstemmed | R2NA: Received Signal Strength (RSS) Ratio-Based Node Authentication for Body Area Network |
title_short | R2NA: Received Signal Strength (RSS) Ratio-Based Node Authentication for Body Area Network |
title_sort | r2na received signal strength rss ratio based node authentication for body area network |
topic | authentication body area network sensor RSS ratio |
url | http://www.mdpi.com/1424-8220/13/12/16512 |
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