A privacy‐preserving framework for smart context‐aware healthcare applications

Azad, Muhammad Ajmal, Arshad, Junaid ORCID: https://orcid.org/0000-0003-0424-9498, Mahmoud, Shazia, Salah, Khaled and Imran, Muhammad (2019) A privacy‐preserving framework for smart context‐aware healthcare applications. Transactions on Emerging Telecommunications Technologies.

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Abstract

Internet of things (IoT) is a disruptive paradigm with wide ranging applications including healthcare, manufacturing, transportation and retail. Within healthcare, smart connected wearable devices are widely used to achieve improved wellbeing, quality of life and security of citizens. Such connected devices generate significant amount of data containing sensitive information about patient requiring adequate protection and privacy assurance. Unauthorized access to an individual’s private data constitutes a breach of privacy leading to catastrophic outcomes for an individuals personal and professional life. Furthermore, breach of privacy may also lead to financial loss to the governing body such as those proposed as part of the General Data Protection Regulation (GDPR) in Europe. Furthermore, while mobility afforded by smart devices enables ease of monitoring, portability and pervasive processing, it also introduces challenges with respect to scalability, reliability and context-awareness for its applications. This paper is focused on privacy preservation within smart context-aware healthcare with a special emphasis on privacy assurance challenges within the Electronic Transfer of Prescription (ETP). To this extent, we present a case for a comprehensive, coherent, and dynamic privacypreserving system for smart healthcare to protect sensitive user data. Based on a thorough analysis of existing privacy preservation models we propose an enhancement for the widely used Salford model to achieve privacy preservation against masquerading and impersonation threats. The proposed model therefore improves privacy assurance for cutting edge IoT applications such as smart healthcare whilst addressing unique challenges with respect to context-aware mobility of such applications.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: [Azad, MA, Arshad, J, Mahmoud, S, Salah, K, Imran, M. A privacy‐preserving framework for smart context‐aware healthcare applications. Trans Emerging Tel Tech], which has been published in final form at https://doi.org/10.1002/ett.3634. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Uncontrolled Keywords: Smart healthcare, e-healthcare, context-awareness, security and privacy, context-aware mobility
Subjects: Computing > Information security > Cyber security
Computing > Information security
Computing
Depositing User: Junaid Arshad
Date Deposited: 17 May 2019 08:18
Last Modified: 06 Jun 2019 16:06
URI: http://repository.uwl.ac.uk/id/eprint/6090

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