PPSB: An Open and Flexible Platform for Privacy-Preserving Safe Browsing

Helei Cui, Yajin Zhou, Cong Wang, Xinyu Wang, Yuefeng Du, Qian Wang

科研成果: 期刊稿件文章同行评审

12 引用 (Scopus)

摘要

Safe Browsing (SB) is an important security feature in modern web browsers to help detect new unsafe websites. Although useful, recent studies have pointed out that the widely adopted SB services, such as Google Safe Browsing and Microsoft SmartScreen, can raise privacy concerns since users' browsing history might be subject to unauthorized leakage to service providers. In this paper, we present a Privacy-Preserving Safe Browsing (PPSB) platform. It bridges the browser that uses the service and the third-party blacklist providers who provide unsafe URLs, with the guaranteed privacy of users and blacklist providers. Particularly, in PPSB, the actual URL to be checked, as well as its associated hashes or hash prefixes, never leave the browser in cleartext. This protects the user's browsing history from being directly leaked or indirectly inferred. Moreover, these lists of unsafe URLs, the most valuable asset for the blacklist providers, are always encrypted and kept private within our platform. Extensive evaluations using real datasets (with over 1 million unsafe URLs) demonstrate that our prototype can function as intended without sacrificing normal user experience, and block unsafe URLs at the millisecond level. All resources, including Chrome extension, Docker image, and source code, are available for public use.

源语言英语
文章编号8815745
页(从-至)1762-1778
页数17
期刊IEEE Transactions on Dependable and Secure Computing
18
4
DOI
出版状态已出版 - 1 7月 2021

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