Autor según el artículo: Pamies-Estrems D; Castella-Roca J; Garcia-Alfaro J

Departamento: Enginyeria Informàtica i Matemàtiques

Autor/es de la URV: Castellà Roca, Jordi

Palabras clave: Web search engines Social networks Single-database Query logs Private information-retrieval Privacy Data streams Anonymization

Resumen: © 2013 IEEE. Web search engines (e.g., Google, Bing, Qwant, and DuckDuckGo) may process a myriad of search queries per second. According to Internet Live Stats, Google handles more than two hundred million queries per hour, i.e., about two trillion queries per year. For monetization purposes, the queries can be stored and complemented with additional data, referred to as query logs. Together, they can correlate valuable information to build accurate user profiles. Before releasing the query logs to third parties (e.g., for profit purposes), the personal information contained in the query logs must be properly protected by the web search engines. Current regulations establish strict control, and require from provable anonymization processing (e.g., in terms of statistical disclosure) of any personally identifiable information. In this paper, we tackle this challenge. We propose a real-time anonymization solution to protect streams of unstructured data at the server side. Our approach is based on the use of a probabilistic $k$ -anonymity technique. It allows probabilistic processing of personally identifiable attributes contained in the query logs, with provable privacy properties. Our solution handles limitations of traditional $k$ -anonymity approaches with respect to unstructured data and real-time processing. We present the implementation of our solution and report experimental evaluation results. The evaluation is conducted in terms of privacy, utility, and scalability achievement. Results validate the feasibility of our proposal.

Áreas temáticas: Telecommunications Materials science (miscellaneous) Materials science (all) General materials science General engineering General computer science Engineering, electrical & electronic Engineering (miscellaneous) Engineering (all) Engenharias iv Engenharias iii Electrical and electronic engineering Computer science, information systems Computer science (miscellaneous) Computer science (all) Ciência da computação

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 2169-3536

Direcció de correo del autor: jordi.castella@urv.cat

Identificador del autor: 0000-0002-0037-9888

Fecha de alta del registro: 2023-02-19

Volumen de revista: 8

Versión del articulo depositado: info:eu-repo/semantics/publishedVersion

Enlace a la fuente original: https://ieeexplore.ieee.org/document/9085377

URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/

Referencia al articulo segun fuente origial: Ieee Access. 8 87393-87413

Referencia de l'ítem segons les normes APA: Pamies-Estrems D; Castella-Roca J; Garcia-Alfaro J (2020). A Real-Time Query Log Protection Method for Web Search Engines. Ieee Access, 8(), 87393-87413. DOI: 10.1109/ACCESS.2020.2992012

DOI del artículo: 10.1109/ACCESS.2020.2992012

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2020

Tipo de publicación: Journal Publications