A novel authentication scheme of identity based group signature algorithm for wireless body sensor network (WBSN)
Keywords:
Authentication, Group signature, Identity Based encryption, Biosensor, Group manager, WBSNAbstract
Wireless Body Sensor Network (WBSN) faces several security problems such as loss of information, access control and authentication. As WBSN collects vital information and operates in unfriendly environment, severe security mechanisms are needed in order to prevent the network from anonymous interactions, authentication is the initial steps towards providing security. An enhanced authentication scheme prevents the system from imposters effectively. In this paper, a novel authentication using identity-based group signature (IBGS) protocol has been proposed to provide security to the WBSN. The proposed method employs identity-based group signature algorithm between biosensors and group manager (GM). An extensive set of experiments were carried out and the results are examined interms of computation cost and energy consumption.
Downloads
References
Almuhaideb, A. M., & Alqudaihi, K. S. (2020). A Lightweight and Secure Anonymity Preserving Protocol for WBAN. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3025733
Arfaoui, A., Kribeche, A., & Senouci, S. M. (2019). Context-aware anonymous authentication protocols in the internet of things dedicated to e-health applications. Computer Networks. https://doi.org/10.1016/j.comnet.2019.04.031
Ding, Y., Xu, H., Zhao, M., Liang, H., & Wang, Y. (2021). Group authentication and key distribution for sensors in wireless body area network. International Journal of Distributed Sensor Networks. https://doi.org/10.1177/15501477211044338
Dodis, Y., Ostrovsky, R., Reyzin, L., & Smith, A. (2008). Fuzzy extractors: How to generate strong keys from biometrics and other noisy data. SIAM Journal on Computing. https://doi.org/10.1137/060651380
Fotouhi, M., Bayat, M., Das, A. K., Far, H. A. N., Pournaghi, S. M., & Doostari, M. A. (2020). A lightweight and secure two-factor authentication scheme for wireless body area networks in health-care IoT. Computer Networks. https://doi.org/10.1016/j.comnet.2020.107333
Jegadeesan, S., Azees, M., Ramesh Babu, N., Subramaniam, U., & Almakhles, J. D. (2020). EPAW: Efficient Privacy Preserving Anonymous Mutual Authentication Scheme for Wireless Body Area Networks (WBANs). IEEE Access. https://doi.org/10.1109/ACCESS.2020.2977968
Jiang, Q., Ma, J., Ma, Z., & Li, G. (2013). A privacy enhanced authentication scheme for telecare medical information systems. Journal of Medical Systems. https://doi.org/10.1007/s10916-012-9897-0
Kadel, R., Islam, N., Ahmed, K., & Halder, S. J. (2018). Opportunities and Challenges for Error Correction Scheme for Wireless Body Area Network—A Survey. Journal of Sensor and Actuator Networks. https://doi.org/10.3390/jsan8010001
Kumar, M., & Chand, S. (2021). A lightweight cloud-assisted identity-based anonymous authentication and key agreement protocol for secure wireless body area network. IEEE Systems Journal. https://doi.org/10.1109/JSYST.2020.2990749
Lara, E., Aguilar, L., & Garcia, J. A. (2021). Lightweight Authentication Protocol Using Self-Certified Public Keys for Wireless Body Area Networks in Health-Care Applications. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3084135
Latha, R., & Vetrivelan, P. (2020). Wireless body area network (WBAN)-based telemedicine for emergency care. Sensors (Switzerland). https://doi.org/10.3390/s20072153
Liu, J., Zhang, Z., Sun, R., & Kwak, K. S. (2012). An efficient certificateless remote anonymous authentication scheme for wireless body area networks. IEEE International Conference on Communications. https://doi.org/10.1109/ICC.2012.6363786
Miao, F., Bao, S. Di, & Li, Y. (2010). A modified fuzzy vault scheme for biometrics-based body sensor networks security. GLOBECOM - IEEE Global Telecommunications Conference. https://doi.org/10.1109/GLOCOM.2010.5683998
Narwal, B., & Mohapatra, A. K. (2021). A survey on security and authentication in wireless body area networks. In Journal of Systems Architecture. https://doi.org/10.1016/j.sysarc.2020.101883
Ren, Y., Leng, Y., Zhu, F., Wang, J., & Kim, H. J. (2019). Data storage mechanism based on blockchain with privacy protection in wireless body area network. Sensors (Switzerland). https://doi.org/10.3390/s19102395
Shamir, A. (1985). Identity-Based Cryptosystems and Signature Schemes. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/3-540-39568-7_5
Sharma, R. (2020). An Intelligent Health Monitoring System based on Secure Distributed Routing in Wireless Body Area Networks. International Journal of Advanced Trends in Computer Science and Engineering. https://doi.org/10.30534/ijatcse/2020/138942020
Tan, H., & Chung, I. (2019). Secure Authentication and Group Key Distribution Scheme for WBANs Based on Smartphone ECG Sensor. IEEE Access. https://doi.org/10.1109/ACCESS.2019.2948207
Ullah, I., Alomari, A., Amin, N. U., Khan, M. A., & Khaak, H. (2019). An energy efficient and formally secured certificate-based signcryption for wireless body area networks with the internet of things. Electronics (Switzerland). https://doi.org/10.3390/electronics8101171
Venkatasubramanian, K. K., Banerjee, A., & Gupta, S. K. S. (2008). EKG-based key agreement in body sensor networks. Proceedings - IEEE INFOCOM. https://doi.org/10.1109/INFOCOM.2008.4544608
Vyas, A., & Pal, S. (2019). Preventing security and privacy attacks in WBANs. In Handbook of Computer Networks and Cyber Security: Principles and Paradigms. https://doi.org/10.1007/978-3-030-22277-2_8
You, L., Chen, Y., Yan, B., & Zhan, M. (2018). A novel location-based encryption model using fuzzy vault scheme. Soft Computing. https://doi.org/10.1007/s00500-017-2583-x
Zhang, Z., Wang, H., Vasilakos, A. V., & Fang, H. (2012). ECG-cryptography and authentication in body area networks. IEEE Transactions on Information Technology in Biomedicine. https://doi.org/10.1109/TITB.2012.2206115
Zia, Y., Bashir, F., & Qureshi, K. N. (2020). Dynamic superframe adaptation using group-based media access control for handling traffic heterogeneity in wireless body area networks. International Journal of Distributed Sensor Networks. https://doi.org/10.1177/1550147720949140
Published
How to Cite
Issue
Section
Copyright (c) 2022 International journal of health sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health Sciences (IJHS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJHS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.








