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Key Encapsulation Mechanism from Multilinear Maps

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Advances in Internetworking, Data & Web Technologies (EIDWT 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 6))

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Abstract

The key encapsulation mechanism (KEM) and the data encapsulation mechanism (DEM) form a hybrid encryption, which effectively solves the problem of low efficiency of public key cryptography and key distribution problems in symmetric encryption system. The security and efficiency of the key encapsulation mechanism directly affect the security and efficiency of hybrid encryption. In this paper, an identity-based key encapsulation scheme is constructed by using multilinear mapping. We proved that the scheme is under the standard model of adaptive chosen-ciphertext security. The scheme can be publicly verified and the key and ciphertext length are constant and have high efficiency.

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Author information

Authors and Affiliations

  1. Electronics Technology Department, Engineering University of People’s Armed Police, Xi’an, Shanxi, China

    Liqun Lv, Wenjun Sun, Xiaoyuan Yang & Xuan Wang

  2. Xidian University, Xi’an, Shanxi, China

    Xuan Wang

Authors
  1. Liqun Lv
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  2. Wenjun Sun
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  3. Xiaoyuan Yang
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  4. Xuan Wang
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Editor information

Editors and Affiliations

  1. Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. School of Computer Sciences, Hubei University of Technology, Wuhan, China

    Mingwu Zhang

  3. Department of Electronic Technology, Key, Engineering University of CAPF, Xi’an, Xizang, China

    Xu An Wang

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Lv, L., Sun, W., Yang, X., Wang, X. (2018). Key Encapsulation Mechanism from Multilinear Maps. In: Barolli, L., Zhang, M., Wang, X. (eds) Advances in Internetworking, Data & Web Technologies. EIDWT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-59463-7_35

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  • DOI: https://doi.org/10.1007/978-3-319-59463-7_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59462-0

  • Online ISBN: 978-3-319-59463-7

  • eBook Packages: EngineeringEngineering (R0)

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