Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features
Wireless Body Area Networks (WBANs) are increasingly employed in different medical applications, such as remote health monitoring, early detection of medical conditions, and computer-assisted rehabilitation. A WBAN connects a number of sensor nodes implanted in and/or fixed on the human body for mon...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/4/404 |
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| author | Yasmeen Al-Saeed Eman Eldaydamony Ahmed Atwan Mohammed Elmogy Osama Ouda |
| author_facet | Yasmeen Al-Saeed Eman Eldaydamony Ahmed Atwan Mohammed Elmogy Osama Ouda |
| author_sort | Yasmeen Al-Saeed |
| collection | DOAJ |
| description | Wireless Body Area Networks (WBANs) are increasingly employed in different medical applications, such as remote health monitoring, early detection of medical conditions, and computer-assisted rehabilitation. A WBAN connects a number of sensor nodes implanted in and/or fixed on the human body for monitoring his/her physiological characteristics. Although medical healthcare systems could significantly benefit from the advancement of WBAN technology, collecting and transmitting private physiological data in such an open environment raises serious security and privacy concerns. In this paper, we propose a novel key-agreement protocol to secure communications among sensor nodes of WBANs. The proposed protocol is based on measuring and verifying common physiological features at both sender and recipient sensors prior to communicating. Unlike existing protocols, the proposed protocol enables communicating sensors to use their previous session pre-knowledge for secure communication within a specific period of time. This will reduce the time required for establishing the shared key as well as avoid retransmitting extracted features in the medium and hence thwarting eavesdropping attacks while maintaining randomness of the key. Experimental results illustrate the superiority of the proposed key agreement protocol in terms of both feature extraction and key agreement phases with an accuracy of 99.50% and an error rate of 0.005%. The efficacy of the proposed protocol with respect to energy and memory utilization is demonstrated compared with existing key agreement protocols. |
| first_indexed | 2024-03-09T05:14:30Z |
| format | Article |
| id | doaj.art-eb483eee503f48c483b8a30e381b3340 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T05:14:30Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-eb483eee503f48c483b8a30e381b33402023-12-03T12:46:56ZengMDPI AGElectronics2079-92922021-02-0110440410.3390/electronics10040404Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based FeaturesYasmeen Al-Saeed0Eman Eldaydamony1Ahmed Atwan2Mohammed Elmogy3Osama Ouda4Information Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, EgyptInformation Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, EgyptFaculty of Computer Sciences and Information Technology, Northern Border University, Arar 9280, Saudi ArabiaInformation Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, EgyptInformation Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, EgyptWireless Body Area Networks (WBANs) are increasingly employed in different medical applications, such as remote health monitoring, early detection of medical conditions, and computer-assisted rehabilitation. A WBAN connects a number of sensor nodes implanted in and/or fixed on the human body for monitoring his/her physiological characteristics. Although medical healthcare systems could significantly benefit from the advancement of WBAN technology, collecting and transmitting private physiological data in such an open environment raises serious security and privacy concerns. In this paper, we propose a novel key-agreement protocol to secure communications among sensor nodes of WBANs. The proposed protocol is based on measuring and verifying common physiological features at both sender and recipient sensors prior to communicating. Unlike existing protocols, the proposed protocol enables communicating sensors to use their previous session pre-knowledge for secure communication within a specific period of time. This will reduce the time required for establishing the shared key as well as avoid retransmitting extracted features in the medium and hence thwarting eavesdropping attacks while maintaining randomness of the key. Experimental results illustrate the superiority of the proposed key agreement protocol in terms of both feature extraction and key agreement phases with an accuracy of 99.50% and an error rate of 0.005%. The efficacy of the proposed protocol with respect to energy and memory utilization is demonstrated compared with existing key agreement protocols.https://www.mdpi.com/2079-9292/10/4/404key agreementWireless Body Area Network (WBAN)inter-sensor communicationphysiological feature-based key agreementElectrical Cardio Graph (ECG)secure communication |
| spellingShingle | Yasmeen Al-Saeed Eman Eldaydamony Ahmed Atwan Mohammed Elmogy Osama Ouda Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features Electronics key agreement Wireless Body Area Network (WBAN) inter-sensor communication physiological feature-based key agreement Electrical Cardio Graph (ECG) secure communication |
| title | Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features |
| title_full | Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features |
| title_fullStr | Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features |
| title_full_unstemmed | Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features |
| title_short | Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features |
| title_sort | efficient key agreement algorithm for wireless body area networks using reusable ecg based features |
| topic | key agreement Wireless Body Area Network (WBAN) inter-sensor communication physiological feature-based key agreement Electrical Cardio Graph (ECG) secure communication |
| url | https://www.mdpi.com/2079-9292/10/4/404 |
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