Forward secure public key encryption with keyword search for cloud-assisted IoT

Hyeongseob Kim, Changhee Hahn, Junbeom Hur

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    10 Citations (Scopus)

    Abstract

    The Internet of Things (IoT) features a mechanism that extends connectivity to diverse computing devices, such as smart phones, commodity sensors, and appliances. Due to the huge quantity of data generated by the IoT devices, they are likely to be stored and managed by the cloud these days. However, because of the privacy concern about the sensitive data, encryption techniques are typically adopted by the cloud. In order to enable searching over encrypted data for multiple data senders in the cloud, public key encryption with keyword search (PEKS) has been proposed as one variant of searchable encryption (SE). Unfortunately, existing PEKS schemes are vulnerable to adaptive file-injection attack due to the lack of forward privacy. In this paper, we propose a forward secure PEKS scheme based on hierarchical identity-based encryption for cloud-assisted IoT environments. While the existing schemes incur to the data receiver a storage overhead that increases linearly with the number of data senders, our scheme incurs only a constant cost. The experimental analysis with Amazon EC2 and Raspberri Pi shows that our scheme is two to five times more efficient than the previous schemes, which makes our scheme more suitable for multiple data senders in the cloud-assisted IoT environments.

    Original languageEnglish
    Title of host publicationProceedings - 2020 IEEE 13th International Conference on Cloud Computing, CLOUD 2020
    PublisherIEEE Computer Society
    Pages549-556
    Number of pages8
    ISBN (Electronic)9781728187808
    DOIs
    Publication statusPublished - 2020 Oct
    Event13th IEEE International Conference on Cloud Computing, CLOUD 2020 - Virtual, Beijing, China
    Duration: 2020 Oct 182020 Oct 24

    Publication series

    NameIEEE International Conference on Cloud Computing, CLOUD
    Volume2020-October
    ISSN (Print)2159-6182
    ISSN (Electronic)2159-6190

    Conference

    Conference13th IEEE International Conference on Cloud Computing, CLOUD 2020
    Country/TerritoryChina
    CityVirtual, Beijing
    Period20/10/1820/10/24

    Bibliographical note

    Publisher Copyright:
    © 2020 IEEE.

    Keywords

    • Forward privacy
    • Internet of things
    • Public key encryption with keyword search
    • Security

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Information Systems
    • Software

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