跳到主要导航 跳到搜索 跳到主要内容

PPFilter: Provider Privacy-Aware Encrypted Filtering System

  • Peng Jiang*
  • , Fuchun Guo*
  • , Willy Susilo
  • , Man Ho Au
  • , Jianchang Lai
  • , Wenmin Li
  • *此作品的通讯作者
  • University of Wollongong
  • Hong Kong Polytechnic University
  • Beijing University of Posts and Telecommunications

科研成果: 期刊稿件文章同行评审

摘要

Filtering refers to an operation to determine whether the concerned data should be accepted and transferred, or be blocked and marked as a malicious traffic flow. It mitigates the inter-domain bandwidth overhead, local computational cost and storage cost for data identification. In many sensitive applications, the identity of the data provider needs to be hidden. This creates challenges how to filter the transmitted data packet with an encrypted form. It is non-trivial to hide this data provider's identity while enabling filtering, as the policy used as a matching criteria will need to determine whether the data needs to be transferred or not without knowing the origin of that data. In this work, we design PPFilter, a privacy-aware encrypted filtering mechanism which allows the filtering to be conducted without the need to know the identity of the data provider. PPFilter achieves the integrity protection of the data packets and the provider privacy Level 3. PPFilter is built on top of a novel notion called identity-based encryption with sender search (IESS), which supports anonymous sender identity in an encrypted searching. We present a provably secure IESS instantiation, and apply it to achieve a PPFilter protocol. PPFilter allows the data provider's identity to be hidden from both the transferred data and policy while enabling the filtering capability, which solves the aforementioned problem. The analysis and evaluation show that PPFilter maintains cost-reasonable filtering while preserving provider privacy, and hence it guarantees its practicality.

源语言英语
页(从-至)1519-1530
页数12
期刊IEEE Transactions on Services Computing
14
5
DOI
出版状态已出版 - 2021

学术指纹

探究 'PPFilter: Provider Privacy-Aware Encrypted Filtering System' 的科研主题。它们共同构成独一无二的学术指纹。

引用此