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    A Lightweight and Secure Group Key Based Handover Authentication Protocol for the Software-Defined Space Information Network

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    Date
    2020-06-01
    Author
    Xue, Kaiping
    Meng, Wei
    Zhou, Huancheng
    Wei, David S.L.
    Guizani, Mohsen
    Metadata
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    Abstract
    With rapid advances in satellite technology, space information network (SIN) has been proposed to meet the increasing demands of ubiquitous mobile communication due to its advantages in providing extensive access services. However, due to satellites' resource constraint and SIN's highly dynamic topology, it poses a challenge on management and resource utilization in the development of SIN. There have been some works integrating the software defined network (SDN) into SIN, defined as software defined space information network (SD-SIN), so as to simplify the management and improve resource utilization in SIN. However, these works ignore the security issue in SD-SIN. Meanwhile, the existing security mechanisms in SDN are still unable to cope with the uniqueness of satellite network, and some other critical security issues still haven't yet been well addressed. In this paper, based on $(t,n)$ secret sharing, an SIN-specific lightweight group key agreement protocol is proposed for SD-SIN to ensure both the security and applicability. Moreover, considering the highly dynamic network topology, we also design a group key-based secure handover authentication scheme to reduce the overhead of handover authentication. Security analysis shows that the handover authentication protocol can resist to various known attacks. In addition, further performance evaluation shows its efficiency in terms of computation and communication overheads. Finally, the simulation results of computing overhead to the network entities demonstrate that our protocol is feasible in practical implementation.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85086031263&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/TWC.2020.2975781
    http://hdl.handle.net/10576/36980
    Collections
    • Computer Science & Engineering [‎2429‎ items ]

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