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    An Efficient, Accountable, and Privacy-Preserving Access Control Scheme for Internet of Things in a Sharing Economy Environment

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    Date
    2020-07-01
    Author
    Liu, Yu
    Xue, Kaiping
    He, Peixuan
    Wei, David S.L.
    Guizani, Mohsen
    Metadata
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    Abstract
    The Internet of Things (IoT) has set off a new information technology revolution due to its convenience and efficiency. An IoT enables sharing economy, as more people are willing to share their own things (mostly mobile devices) to leverage the under-used value. In such a situation where owners and users are often not familiar with each other, an efficient access control mechanism is needed to deal with the trust issue and support service accountability to help owners accurately get their deserved profits. Besides, in such a sharing economy environment, the mobility of most shared IoT devices and their privacy preserving should also be taken into account. Regrettably, the existing schemes cannot achieve all of the aforementioned goals simultaneously and only few schemes were implemented to evaluate the claimed performance. In this article, we propose an efficient, accountable, and privacy-preserving access control solution for IoT in a sharing economy environment. In our scheme, we utilize the one-time signature to achieve anonymous authentication and let gateways store the signatures as service credentials for accountability. Meanwhile, we adopt the identity-based authentication to exclude malicious gateways and shared devices from the system and design a specialized protocol for those devices moving with the users. We conduct a detailed security analysis to show that our scheme can effectively defend against potential attacks, and also implement a prototype system to demonstrate that our design is indeed an efficient one.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85089310268&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/JIOT.2020.2975140
    http://hdl.handle.net/10576/36765
    Collections
    • Computer Science & Engineering [‎2428‎ items ]

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