Seamless privacy-preservation and authentication framework for IoT-enabled smart eHealth systems. (May 2022)

• Record Type: Journal Article
• Authors: Deebak, B D; Memon, Fida Hussain; Cheng, Xiaochun; Dev, Kapal; Hu, Jia; Khowaja, Sunder Ali; Qureshi, Nawab Muhammad Faseeh; Choi, Kyung Huyn
• Is Part Of: Sustainable cities and society. Volume 80(2022)
• Publication Date: 2022-05
• Subjects: Digital application -- Internet of Things -- Massive sensor networks -- Privacy-preserving -- Cloud networks; Sustainable urban development -- Periodicals; Sustainable buildings -- Periodicals; Urban ecology (Sociology) -- Periodicals; 307.76
• DOI: 10.1016/j.scs.2021.103661
• Languages: English
• ISSNs: 2210-6707

Abstract

Highlights: Present a seamless authentication framework without self-certified public-key cryptography. Reduced computation and communication during authentication and key agreement. Permit dynamic user identities to strengthen proper mutual authentication. Apply a formal security model to prove the efficiency of the proposed SAF-PP. Abstract: The initiatives of sustainable urbanization use ICT-based innovation to improve service efficiencies of smart cities and to discover modern economic opportunities. The smart sustainable cities prefer a reliable IoT connectivity and data integration to meet the standard constraints of emerging computing paradigms with enabling techhnologies. The computing paradigms including cloud, fog, and edge are nowadays driving the technological advancement to enrich the features of the digital application (DApp) including interactive, intuitive, and personalized. DApp utilizes the essential characteristics of the enabling technologies such as heterogeneity, resource constraints, connectivity, and mobility to standardize the nature of smart intelligence via service agents. In the connection of massive IoT services, DApp involves continuous generation of IoT data over a dedicated gateway to offer extensive connectivity and improved access control. In the past, most of the existing mechanisms have primarily focused on security management for IoT networks to operate massive application services. However, a key issue of privacy-preserving for massive IoT is still challenging to ensure device protection. Importantly, the existing mechanisms fail to claim security efficiencies in terms of user anonymity and authentication key exchange using formal proof. Thus, this paper presents a seamless authentication framework with privacy-preserving (SAF-PP) protocol to deal with security and privacy issues of smart eHealth intelligence. The formal analysis proves that the proposed SAF-PP can adhere to significant security properties while improving the system efficiency rate. The performance analysis also shows that the proposed SAF-PP is more efficient in increasing the active users with an improved packet delivery ratio and network lifetime.