Autor segons l'article: Batet M; Erola A; Sánchez D; Castellà-Roca J
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Batet Sanromà, Montserrat / Castellà Roca, Jordi / Sánchez Ruenes, David
Paraules clau: Sensitive informations Semantics Semantic similarity Semantic aggregation Query logs Privacy-preservation Privacy preservation Open directory projects Microaggregation Information retrieval Data utility Data utilities
Resum: Query logs are of great interest for scientists and companies for research, statistical and commercial purposes. However, the availability of query logs for secondary uses raises privacy issues since they allow the identification and/or revelation of sensitive information about individual users. Hence, query anonymization is crucial to avoid identity disclosure. To enable the publication of privacy-preserved - but still useful - query logs, in this paper, we present an anonymization method based on semantic microaggregation. Our proposal aims at minimizing the disclosure risk of anonymized query logs while retaining their semantics as much as possible. First, a method to map queries to their formal semantics extracted from the structured categories of the Open Directory Project is presented. Then, a microaggregation method is adapted to perform a semantically-grounded anonymization of query logs. To do so, appropriate semantic similarity and semantic aggregation functions are proposed. Experiments performed using real AOL query logs show that our proposal better retains the utility of anonymized query logs than other related works, while also minimizing the disclosure risk. © 2013 Elsevier Inc. All rights reserved.
Àrees temàtiques: Theoretical computer science Software Medicina ii Matemática / probabilidade e estatística Interdisciplinar Information systems and management Ensino Engenharias iv Engenharias iii Engenharias i Control and systems engineering Comunicação e informação Computer science, information systems Computer science applications Ciencias sociales Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência da computação Biodiversidade Astronomia / física Artificial intelligence Administração pública e de empresas, ciências contábeis e turismo
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: montserrat.batet@urv.cat jordi.castella@urv.cat david.sanchez@urv.cat
Identificador de l'autor: 0000-0001-8174-7592 0000-0002-0037-9888 0000-0001-7275-7887
Data d'alta del registre: 2023-02-23
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://www.sciencedirect.com/science/article/abs/pii/S0020025513003174
Referència a l'article segons font original: Information Sciences. 242 49-63
Referència de l'ítem segons les normes APA: Batet M; Erola A; Sánchez D; Castellà-Roca J (2013). Utility preserving query log anonymization via semantic microaggregation. Information Sciences, 242(), 49-63. DOI: 10.1016/j.ins.2013.04.020
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1016/j.ins.2013.04.020
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2013
Tipus de publicació: Journal Publications