Keyword Attacks and Privacy Preserving in Public-Key-Based Searchable Encryption

Peng Jiang, Fuchun Guo, Willy Susilo, Jinguang Han

Research output: Other contribution

Abstract

he notion of public key encryption with keyword search (PEKS) provides a flexible and efficient approach to retrieve encrypted data stored in a remote server. A main threat in PEKS is the keyword guessing attack, where disclosed keywords leak the associated data and the user’s interest. This gives rise to that the keyword privacy becomes a concern in searchable encryption. In this paper, we present a brief history of keyword privacy in searchable encryption. We make a systematic investigation of keyword privacy issue in public key-based searchable encryption. We describe keyword guessing attacks in a general PEKS scheme. According to different attackers, we refine inherent reasons and summarize enhancement achievements. This preserves the keyword privacy and provides guidance for the secure development of searchable encryption.
Original languageEnglish
TypeBook Chapter
PublisherSpringer
ISBN (Print)978-3-319-63962-8
DOIs
Publication statusPublished - 2019
Externally publishedYes

Publication series

Name
PublisherEncyclopedia of Big Data Technologies
NameEncyclopedia of Big Data Technologies
PublisherSpringer

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