Achieve Privacy-Preserving Priority Classification on Patient Health Data in Remote eHealthcare System

Abstract

The wireless body area network (WBAN) has attracted considerable attention and becomes a promising approach to provide a 24-h on-the-go healthcare service for users. However, it still faces many challenges on the privacy of users' sensitive personal information and the confidentiality of healthcare center's disease models. For this reason, many privacy-preserving schemes have been proposed in recent years. However, the efficiency and accuracy of those privacy-preserving schemes become a big issue to be solved. In this paper, we propose an efficient and privacy-preserving priority classification scheme, named PPC, for classifying patients' encrypted data at the WBAN-gateway in a remote eHealthcare system. Specifically, to reduce the system latency, we design a non-interactive privacy-preserving priority classification algorithm, which allows the WBAN-gateway to conduct the privacy-preserving priority classification for the received users' medical packets by itself and to relay these packets according to their priorities (criticalities). A detailed security analysis shows that the PPC scheme can achieve the priority classification and packets relay without disclosing the privacy of the users' personal information and the confidentiality of the healthcare center's disease models. In addition, the extensive experiments with an android app and two java server programs demonstrate its efficiency in terms of computational costs and communication overheads.

WBAN Technology: Challenges and Security Attacks

“…Although WBAN technology has witnessed a tremendous development in recent times, there are many challenges, related to its real-time applications, experienced which are investigated and reported by several researchers [5,6,[11][12][13][14][15][16][17][18][19][20][21][22]. The prominent challenges in WBAN are presented below.…”

“…Consistent performance: The WBAN must ensure data consistency even when it is restarted after its switched-off state. Consistent handling of data at any circumstance throws a challenge for its assured performance [19,21].…”

Achieving data security and privacy across healthcare applications using cyber security mechanisms

“…The allocation is done to increase the accuracy using K-means clustering. Wang et al (2019a) proposed a privacy-preserving priority classification that is done for patient's health data in the e-health-care system. The wireless body area network (WBAN) gateway is used for remote e-health care to decrease the latency.…”

Contributions of Healthcare 4.0 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak

“… References: 1- Oueida et al (2018) ; 2- Catarinucci et al (2015) ; 3- Hossain et al (2018) ; 4- Elhoseny et al (2018) ; 5- Sannino et al (2018) ; 6- Hassan et al (2019) ; 7- Almulhim et al (2019) ; 8- Manogaran et al (2018) ; 9- Wu et al (2018) ; 10- Azzawi et al (2016) ; 11- Rizwan et al (2018) ; 12- Demirkan (2013) ; 13- Yi and Cai (2018) ; 14- Uddin (2019) ; 15- Munzer et al (2019) ; 16- Wang et al (2019) ; 17- Hamidi (2019) ; 18- Pace et al (2018) ; 19- Wang et al (2018a) ; 20- Rajan and Rajan (2018) ; 21- Yang et al (2016) ; 22- Wang et al (2018b) ; 23- Sakr and Elgammal (2016) ; 24- Rghioui and Oumnad (2018) ; 25- Chen et al (2018) . …”