Anonymous mutual authentication and key agreement scheme for wearable sensors in wireless body area networks

2017 ◽  
Vol 129 ◽  
pp. 429-443 ◽  
Author(s):  
Xiong Li ◽  
Maged Hamada Ibrahim ◽  
Saru Kumari ◽  
Arun Kumar Sangaiah ◽  
Vidushi Gupta ◽  
...  
Keyword(s):  
Key Agreement ◽  
Wearable Sensors ◽  
Mutual Authentication ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Body Area ◽  
Authentication And Key Agreement

scholarly journals Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 404
Author(s):  
Yasmeen Al-Saeed ◽  
Eman Eldaydamony ◽  
Ahmed Atwan ◽  
Mohammed Elmogy ◽  
Osama Ouda
Keyword(s):  
Secure Communication ◽  
Key Agreement ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Sensor Nodes ◽  
Security And Privacy ◽  
Physiological Data ◽  
Computer Assisted ◽  
Body Area ◽  
Key Agreement Protocol

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.

scholarly journals Efficient Anonymous Authenticated Key Agreement Scheme for Wireless Body Area Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Tong Li ◽  
Yuhui Zheng ◽  
Ti Zhou
Keyword(s):  
Key Agreement ◽  
Medical Center ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Sensor Nodes ◽  
Security And Privacy ◽  
Physiological Data ◽  
Authenticated Key Agreement ◽  
Body Area ◽  
Key Update

Wireless body area networks (WBANs) are widely used in telemedicine, which can be utilized for real-time patients monitoring and home health-care. The sensor nodes in WBANs collect the client’s physiological data and transmit it to the medical center. However, the clients’ personal information is sensitive and there are many security threats in the extra-body communication. Therefore, the security and privacy of client’s physiological data need to be ensured. Many authentication protocols for WBANs have been proposed in recent years. However, the existing protocols fail to consider the key update phase. In this paper, we propose an efficient authenticated key agreement scheme for WBANs and add the key update phase to enhance the security of the proposed scheme. In addition, session keys are generated during the registration phase and kept secretly, thus reducing computation cost in the authentication phase. The performance analysis demonstrates that our scheme is more efficient than the currently popular related schemes.

scholarly journals EPAW: Efficient Privacy Preserving Anonymous Mutual Authentication Scheme for Wireless Body Area Networks (WBANs)

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 48576-48586
Author(s):  
Subramani Jegadeesan ◽  
Maria Azees ◽  
N. Ramesh Babu ◽  
Umashankar Subramaniam ◽  
J. Dhafer Almakhles
Keyword(s):  
Mutual Authentication ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Privacy Preserving ◽  
Authentication Scheme ◽  
Body Area
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