Website Privacy Preservation for Query Log Publishing Export

@incollection{citeulike:3993190, abstract = {In this paper we study privacy preservation for the publication of search engine query logs. We introduce a new privacy concern, website privacy as a special case of business privacy. We define the possible adversaries who could be interested in disclosing website information and the vulnerabilities in the query log, which they could exploit. We elaborate on anonymization techniques to protect website information, discuss different types of attacks that an adversary could use and propose an anonymization strategy for one of these attacks. We then present a graph-based heuristic to validate the effectiveness of our anonymization method and perform an experimental evaluation of this approach. Our experimental results show that the query log can be appropriately anonymized against the specific attack, while retaining a significant volume of useful data.}, author = {Poblete, Barbara and Spiliopoulou, Myra and Baeza-Yates, Ricardo}, citeulike-article-id = {3993190}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-540-78478-4_5}, citeulike-linkout-1 = {http://www.springerlink.com/content/ylq40310t15u1306}, doi = {10.1007/978-3-540-78478-4_5}, journal = {Privacy, Security, and Trust in KDD}, keywords = {anonymize-queries, search-queries}, pages = {80--96}, posted-at = {2009-09-21 14:37:00}, priority = {2}, title = {Website Privacy Preservation for Query Log Publishing}, url = {http://dx.doi.org/10.1007/978-3-540-78478-4_5}, year = {2008} }

TY - CHAP ID - citeulike:3993190 L3 - citeulike-article-id:3993190 N2 - In this paper we study privacy preservation for the publication of search engine query logs. We introduce a new privacy concern, website privacy as a special case of business privacy. We define the possible adversaries who could be interested in disclosing website information and the vulnerabilities in the query log, which they could exploit. We elaborate on anonymization techniques to protect website information, discuss different types of attacks that an adversary could use and propose an anonymization strategy for one of these attacks. We then present a graph-based heuristic to validate the effectiveness of our anonymization method and perform an experimental evaluation of this approach. Our experimental results show that the query log can be appropriately anonymized against the specific attack, while retaining a significant volume of useful data. JF - Privacy, Security, and Trust in KDD EP - 96 TI - Website Privacy Preservation for Query Log Publishing SP - 80 KW - anonymize-queries KW - search-queries AU - Poblete, Barbara AU - Spiliopoulou, Myra AU - Baeza-Yates, Ricardo PY - 2008/// UR - http://dx.doi.org/10.1007/978-3-540-78478-4_5 ER -