Next Article in Journal
Active Potentiometry for Dissolved Oxygen Monitoring with Platinum Electrodes
Next Article in Special Issue
Characterization of the Fat Channel for Intra-Body Communication at R-Band Frequencies
Previous Article in Journal
Adaptive Windowing Framework for Surface Electromyogram-Based Pattern Recognition System for Transradial Amputees
Previous Article in Special Issue
A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing
Open AccessArticle

Channel Characteristic Aware Privacy Protection Mechanism in WBAN

by Puning Zhang * and Jie Ma
Department of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Author to whom correspondence should be addressed.
Sensors 2018, 18(8), 2403;
Received: 15 May 2018 / Revised: 3 July 2018 / Accepted: 4 July 2018 / Published: 24 July 2018
(This article belongs to the Special Issue Wireless Body Area Networks and Connected Health)
Advances of information and communication technologies in medical areas have led to the emergence of wireless body area network (WBAN). The high accessibility of media in WBAN can easily lead to the malicious tapping or tampering attacks, which may steal privacy data or inject wrong data. However, existing privacy protection mechanisms in WBAN depend on the third-party key management system and have a complex key exchange process. To enhance user privacy at a low cost and with high flexibility, a channel characteristic aware privacy protection mechanism is proposed for WBAN. In the proposed mechanism, the similarity of RSS is measured to authenticate nodes. The key extraction technique can reduce the cost of the key distribution process. Due to the half duplex communication mode of sensors, the biased random sequences are extracted from the RSS of sensor nodes and coordinator. To reduce the inconsistency, we propose the n-dimension quantification and fuzzy extraction, which can quickly encrypt the transmission information and effectively identify malicious nodes. Simulation results show that the proposed mechanism can effectively protect user privacy against tampering and eavesdropping attacks. View Full-Text
Keywords: wireless body area network; privacy protection; node authentication; information encryption wireless body area network; privacy protection; node authentication; information encryption
Show Figures

Figure 1

MDPI and ACS Style

Zhang, P.; Ma, J. Channel Characteristic Aware Privacy Protection Mechanism in WBAN. Sensors 2018, 18, 2403.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop