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- 223 creator gabriel-ghinita.
- 223 creator panos-kalnis.
- 223 creator spiros-skiadopoulos.
- 223 type InProceedings.
- 223 label "PRIVE: Anonymous Location-Based Queries in Distributed Mobile Systems".
- 223 sameAs 223.
- 223 abstract "Nowadays, mobile users with positioning devices can access Location Based Services (LBS) and query about points of interest in their proximity. For such applications to succeed, privacy and confidentiality are essential. Encryption alone is not adequate; although it safeguards the system against eavesdroppers, the queries themselves may disclose the location and identity of the user. Recently, there have been proposed centralized architectures based on k-Anonymity, which utilize an intermediate anonymizer between the mobile users and the LBS. However, the anonymizer must be updated continuously with the current locations of all users. Moreover, the complete knowledge of the entire system poses a security threat, if the anonymizer is compromised.<br /><br /> In this paper we address two issues: (i) We show that existing approaches may fail to provide spatial anonymity for some distributions of user locations and describe a novel technique which solves this problem. (ii) We propose PRIVE, a decentralized architecture for preserving the anonymity of users issuing spatial queries to LBSs. Mobile users self-organize into an overlay network with good fault tolerance and load balancing properties. PRIVE avoids the bottleneck caused by centralized techniques both in terms of anonymization and location updates. Moreover, the status is distributed in numerous users, rendering the system resilient to attacks. Extensive experimental studies suggest that PRIVE is applicable to real-life scenarios with large populations of mobile users.".
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- 223 title "PRIVE: Anonymous Location-Based Queries in Distributed Mobile Systems".
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- 225 creator gui-rong-xue.
- 225 creator qiang-yang.
- 225 creator xiao-ling.
- 225 creator xiaochuan-ni.
- 225 creator yong-yu.
- 225 type InProceedings.
- 225 label "Exploring in the Weblog Space by Detecting Informative and Affective Articles".
- 225 sameAs 225.
- 225 abstract "Weblogs have become a prevalent source of information for people to express themselves. In general, there are two genres of contents in weblogs. The first kind is about the webloggers' personal feelings, thoughts or emotions. We call this kind of weblogs affective articles. A second kind of weblogs is about technologies and different kinds of informative news. In this paper, we present a machine learning method for classifying informative and affective articles among weblogs. We consider this problem as a binary classification problem. By using machine learning approaches, we achieve 92% on information retrieval performance measures including precision, recall and F1. We set up three studies on the applications of above classification approach in both research and industrial fields. We use the above classification approach to improve the performance of classification of emotions from weblog articles. We also develop an intent-driven weblog-search engine based on the classification techniques to improve the satisfaction of web users. Finally, we use above classification approach to search for weblogs with a great deal of informative articles.".
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- 225 title "Exploring in the Weblog Space by Detecting Informative and Affective Articles".
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- 232 creator cynthia-dwork.
- 232 creator jon-kleinberg.
- 232 creator lars-backstrom.
- 232 type InProceedings.
- 232 label "Wherefore Art Thou R3579X? Anonymized Social Networks, Hidden Patterns, and Structural Steganography".
- 232 sameAs 232.
- 232 abstract "In a social network, nodes correspond to people or other social entities, and edges correspond to social links between them. In an effort to preserve privacy, the practice of anonymization replaces names with meaningless unique identifiers. We describe a family of schemes such that even from a single anonymized copy of a social network, it is possible for an adversary to learn whether edges exist or not between specific targeted pairs of nodes.".
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- 232 title "Wherefore Art Thou R3579X? Anonymized Social Networks, Hidden Patterns, and Structural Steganography".
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- item-1 hasContent lars-backstrom.
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- 247 creator benyu-zhang.
- 247 creator ke-wang.
- 247 creator yabo-xu.
- 247 creator zheng-chen.