JOURNAL ARTICLE

Permutation of Web Search Query Types for User Intent Privacy

Kato Mivule

Year: 2017 Journal:   International Journal of Advanced Computer Science and Applications Vol: 8 (1)   Publisher: Science and Information Organization

Abstract

Privacy remains a major concern when using search engines to find for information on the web due to the fact that search engines own massive resources in preserving search logs of each user and organizations. However, many of the present query search privacy practices require the very same search engine and third party to collaborate, making privacy even more difficult. Therefore, as a contribution, we present a heuristic, permutation of web search query types, a non-cryptographic heuristic that works by formation of obfuscated search queries via permutation of query keyword categories. Preliminary results from this study show that web search query and specific user intent privacy might be achievable from the user side without involvement of the search engine or other third parties by the permutation of web search query types.

Keywords:
Web search query Computer science Web query classification Information retrieval Query expansion Search engine Query optimization Heuristic Sargable Search-oriented architecture Query language World Wide Web Artificial intelligence

Metrics

1
Cited By
0.81
FWCI (Field Weighted Citation Impact)
23
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Privacy, Security, and Data Protection
Social Sciences →  Social Sciences →  Sociology and Political Science
Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
Spam and Phishing Detection
Physical Sciences →  Computer Science →  Information Systems

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