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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET),  Electronic Journals Library, Ulrich's Periodicals Directory, EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Editor-in-chief
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2018 Vol.6(1): 41-47 ISSN: 1793-8244
DOI: 10.18178/JACN.2018.6.1.252

An Enhanced Network Admission and Communication Scheme for Internet of Things Based Body Area Network Healthcare System

Chun-Ta Li, Dong-Her Shih, and Chun-Cheng Wang
Abstract—As an important part of Internet of Things (IoTs), body area networks (BAN) have been developed for providing medical diagnostics. A large number of wearable or embedded body sensors are used to sense and collect patient’s personal physiological information and transmit it to the backend of the medical systems for healthcare monitoring. However, due to its openness, protecting sensitive data from unauthorized access is a vital issue in medical-related system. Recently, Deng et al. proposed a secure and lightweight network admission and communication scheme based on Internet of Things for body area network healthcare system. However, after a detailed inspection of their scheme, we found Deng et al.’s scheme is not secure enough as they claimed and then demonstrated that their scheme is vulnerable to various attacks, such as data replaying attack and user traceability attack. To eliminate the vulnerabilities of Deng et al.’s scheme, in this paper, we proposed an enhanced network admission and communication scheme for IoT-based body area network healthcare system while also providing mutual authentication, data confidentiality and data integrity.

Index Terms—Body area network, cryptanalysis, mutual authentication, network admission, privacy, untraceability.

Chun-Ta Li is with the Department of Information Management, Tainan University of Technology, Tainan City 71002, Taiwan, R.O.C. (e-mail: th0040@mail.tut.edu.tw). Dong-Her Shih and Chun-Cheng Wang are with the Department of Information Management, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan, R.O.C. (e-mail: shihdh@yuntech.edu.tw, jim821112@gmail.com).

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Cite:Chun-Ta Li, Dong-Her Shih, and Chun-Cheng Wang, "An Enhanced Network Admission and Communication Scheme for Internet of Things Based Body Area Network Healthcare System," Journal of Advances in Computer Networks vol. 6, no. 1, pp. 41-47, 2018.

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