基于属性隐藏的高效去中心化的移动群智数据共享方案

Attribute-Hiding Based Efficient and Decentralized Scheme for Mobile Crowdsensing Data Sharing

  • 摘要: 移动群智技术是一种能够突破时间与地点的限制,实现随时随地大规模的实时群智数据感知、传输和共享的技术。然而,现有的移动群智场景在数据共享过程中面临诸多安全、隐私和效率问题,如非授权数据访问、访问控制隐私泄漏、单权威密钥托管、访问开销过高等。为了同时解决以上问题,提出了一个面向移动群智场景的高效去中心化属性隐藏的数据共享方案。该方案不仅允许群智用户指定基于属性的访问控制用于加密群智数据,使得只有满足访问控制的用户才能访问该群智数据,还允许多个权威机构为群智用户共同生成私钥,使得单独的权威机构无法伪装成合法的用户来非法访问目标群智数据。此外,该方案在不泄漏访问控制的属性隐私的情况下,群智用户能够以最低的能耗快速解密和访问目标群智数据。通过安全性和性能分析,证明该方案能够实现安全高效的移动群智数据共享。

     

    Abstract: Mobile crowdsensing technology is a technique that can break through the limitations of time and place, and realize large-scale real-time crowdsensing data perception, transmission and sharing anytime, anywhere. However, the existing mobile crowdsensing applications confront with some security, privacy and efficiency problems in the crowdsensing data sharing, such as unauthorized data access, privacy leakage of access control, key escrow of single-authority, and high access overhead. In order to tackle the above problems simultaneously, this paper proposes an attribute-hiding based efficient and decentralized scheme for mobile crowdsensing data sharing, which not only allows mobile users to specify attribute-based access control for encrypting crowdsensing data, such that only users who meet the access control can access the data, but also allows multiple authorities to jointly generate private keys for swarm crowdsensing users, so that any a single authority cannot illegally access the target crowdsensing data by pretending to be a legitimate user. In addition, it enables fast decryption and accessing target data with the lowest energy consumption without leaking attribute privacy of access control. This paper also gives strict security analysis and performance analysis to prove that our scheme is secure, efficient and feasible for the mobile crowdsensing data sharing.

     

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