Multi-graph Zero-knowledge-based authentication system in Internet of Things

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Internet of Things (IoT) is an emerging network technology applied to provide various services in our daily life. Generally, IoT environments are composed of numerous heterogeneous devices with constrained resource. The limited capability of IoT devices makes it impractical to perform traditional security mechanisms, and thus IoT services are usually vulnerable to all kinds of security threats, such as impersonation and forgery attacks. Moreover, the inflexible protection provided by these security mechanisms leads to inefficiency because different services haves diverse requirements. To provide IoT services suitable security protection, Multi-graph Zero-knowledge-based Authentication System (M-ZAS), which is not only light-weight but also high-adaptive, is proposed. Compared to traditional authentication mechanisms as well as other Zero-knowledge-proof (ZKP) methods such as GMW-ZKP, M-ZAS provides higher performance and better security protection. In addition, M-ZAS has lower transmission overheads than GMW-ZKP does. Considering relevant contexts as parameters, M-ZAS provides adaptive protection to fulfill what users actually need. Experiment results show that M-ZAS is 3 times faster than GMW-ZKP and even 7 times than traditional authentication mechanisms in IoT devices. Also, M-ZAS reduces 3 times network traffic than GMW-ZKP. Thus, the proposed M-ZAS is the most practical authentication system in IoT environments.

原文English
主出版物標題2017 IEEE International Conference on Communications, ICC 2017
編輯Merouane Debbah, David Gesbert, Abdelhamid Mellouk
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781467389990
DOIs
出版狀態Published - 2017 七月 28
事件2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
持續時間: 2017 五月 212017 五月 25

出版系列

名字IEEE International Conference on Communications
ISSN(列印)1550-3607

Other

Other2017 IEEE International Conference on Communications, ICC 2017
國家France
城市Paris
期間17-05-2117-05-25

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • 引用此

    Chuang, I. H., Guo, B. J., Tsai, J. S., & Kuo, Y. H. (2017). Multi-graph Zero-knowledge-based authentication system in Internet of Things. 於 M. Debbah, D. Gesbert, & A. Mellouk (編輯), 2017 IEEE International Conference on Communications, ICC 2017 [7996820] (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7996820