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检索条件"任意字段=Conference on Privacy in Statistical Databases 2010"

共 25 条记录，以下是11-20 订阅

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Uncertainty for Anonymity and 2-Dimensional Range Query Distortion

Uncertainty for Anonymity and 2-Dimensional Range Query Dist...

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conference on privacy in statistical databases 2010

作者： Sioutas, Spyros Magkos, Emmanouil Karydis, Ioannis Verykios, Vassilios S. Ionian Univ Dept Informat Corfu Greece Univ Thessaly Dept Comp & Commun Engn Thessaly Greece

ISBN: (纸本)9783642158377

In this work, we study the problem of anonymity-preserving data publishing in moving objects databases. In particular, the trajectory of a mobile user on the plane is no longer a polyline in a two-dimensional space, instead it is a two-dimensional surface: we know that the trajectory of the mobile user is within this surface, but we do not know exactly where. We transform the surface's boundary poly-lines to dual points and we focus on the information distortion introduced by this space translation. We develop a set of efficient spatio-temporal access methods and we experimentally measure the impact of information distortion by comparing the performance results of the same spatio-temporal range queries executed on the original database and on the anonymized one.

关键词： Uncertainty privacy Anonymity Moving Objects databases

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Coprivacy: Towards a Theory of Sustainable privacy

Coprivacy: Towards a Theory of Sustainable Privacy

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conference on privacy in statistical databases 2010

作者： Domingo-Ferrer, Josep Univ Rovira & Virgili UNESCO Chair Data Privacy Dept Comp Engn & Math E-43007 Tarragona Catalonia Spain

ISBN: (纸本)9783642158377

We introduce the novel concept of coprivacy or co-operative privacy to make privacy preservation attractive. A protocol is coprivate if the best option for a player to preserve her privacy is to help another player in preserving his privacy. Coprivacy makes an individual's privacy preservation a goal that rationally interests other individuals: it is a matter of helping oneself by helping someone else. We formally define coprivacy in terms of Nash equilibria. We then extend the concept to: i) general coprivacy, where a helping player's utility (i.e. interest) may include earning functionality and security in addition to privacy: ii) mixed coprivacy, where mixed strategies and mixed Nash equilibria are allowed with some restrictions;iii) correlated coprivacy, in which Nash equilibria are replaced by correlated equilibria. Coprivacy can be applied to any peer-to-peer (P2P) protocol. We illustrate coprivacy in P2P user-private information retrieval, and also in content privacy in on-line social networking.

关键词： Coprivacy Data privacy User-private information retrieval Content privacy in social networks Game theory

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IPUMS-International statistical Disclosure Controls: 159 Census Microdata Samples in Dissemination, 100+ in Preparation

IPUMS-International Statistical Disclosure Controls: 159 Cen...

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conference on privacy in statistical databases 2010

作者： McCaa, Robert Ruggles, Steven Sobek, Matt Minnesota Populat Ctr Minneapolis MN 55455 USA

ISBN: (纸本)9783642158377

In the last decade, a revolution has occurred in access to census microdata for social and behavioral research. More than 325 million person records (55 countries, 159 samples) representing two-thirds of the world's population are now readily available to bona fide researchers from the IPUMS-International website: ***/international hosted by the Minnesota Population Center. Confidentialized extracts are disseminated on a restricted access basis at no cost to bona fide researchers. Over the next five years, from the microdata already entrusted by National statistical Office-owners, the database will encompass more than 80 percent of the world's population (85 countries, similar to 100 additional datasets) with priority given to samples from the 2010 round of censuses. A profile of the most frequently used samples and variables is described from 64,248 requests for microdata extracts. The development of privacy protection standards by National statistical Offices, international organizations and academic experts is fundamental to eliciting world-wide cooperation and, thus, to the success of the IPUMS initiative. This paper summarizes the legal, administrative and technical underpinnings of the project, including statistical disclosure controls, as well as the conclusions of a lengthy on-site review by the former Australian Statistician, Mr. Dennis Trewin.

关键词： Census microdata samples data privacy data dissemination IPUMS-International

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privacy Disclosure Analysis and Control for 2D Contingency Tables Containing Inaccurate Data

Privacy Disclosure Analysis and Control for 2D Contingency T...

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conference on privacy in statistical databases 2010

作者： Liang, Bing Chiew, Kevin Li, Yingjiu Yang, Yanjiang Singapore Management Univ Sch Informat Syst 80 Stamford Rd Singapore 178902 Singapore Inst Infocomm Res Singapore 138632 Singapore

ISBN: (纸本)9783642158377

The 2D (two-dimensional) contingency tables have been used in many aspects of our daily life. In practice, errors may be incurred when generating or editing such a table hence the data contained by the table could be inaccurate. Even so, it is still possible for a knowledgeable snooper who may have acquired the information of error distributions to decipher some private information from a released table. This paper investigates the estimation of privacy disclosure probability for contingency tables with inaccurate data based on Frechet bounds and proposes two optimization solutions for the control of privacy disclosure so as to preserve private information. Our estimation of privacy disclosure probability and the optimization solutions are also applicable to error-free tables which can be regarded as a special case where there are no errors. The effectiveness of the solutions is verified by rigorous experiments.

关键词： contingency table privacy disclosure Frechet bounds

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Semantic Microaggregation for the Anonymization of Query Logs

Semantic Microaggregation for the Anonymization of Query Log...

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conference on privacy in statistical databases 2010

作者： Erola, Arnau Castella-Roca, Jordi Navarro-Arribas, Guillermo Torra, Vicenc Univ Rovira & Virgili UNESCO Chair Data Privacy Dept Engn Informat & Matemat Av Paisos Catalans 26 E-43007 Tarragona Spain CSIC IIIA E-08193 Bellaterra Spain

ISBN: (纸本)9783642158377

The publication of Web search logs is very useful for the scientific research community, but to preserve the users' privacy, logs have to be submitted to an anonymization process. Random query swapping is a common technique used to protect logs that provides k-anonymity to the users in exchange for loss of utility. With the assumption that by swapping queries semantically close this utility loss can be reduced, we introduce a novel protection method that semantically microaggregates the logs using the Open Directory Project. That is, we extend a common method used in statistical disclosure control to protect search logs from a semantic perspective. The method has been tested with a random subset of AOL search logs, and it has been observed that new logs improve the data usefulness.

关键词： Semantics

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Strategies to Achieve SDC Harmonisation at European Level: Multiple Countries, Multiple Files, Multiple Surveys

Strategies to Achieve SDC Harmonisation at European Level: M...

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conference on privacy in statistical databases 2010

作者： Ichim, Daniela Franconi, Luisa Ist Nazl Stat DCMT I-00184 Rome Italy

ISBN: (纸本)9783642158377

Preliminary considerations and an initial proposal are made for the harmonisation of different statistical disclosure limitation procedures at European level. Here we present the case of microdata file but the same approach could be successfully applied to other types of releases as well. The proposal is based on two pillars: in the methodological part, contrary to the proposal of Perez-Duarte (2009), the harmonisation concept is defined by means of a set of minimal requirements on both the input and the output of the anonymisation process. In the organisational part, the burden is shared among actors in the European statistical System. A proposal for a possible implementation of both the methodological and procedural/organisational framework is sketched. Issues related to the release of multiple files from the same survey i.e. from the same original dataset, are sketched. The release of multiple files is a new feature at European level stemming from the introduction of the public use file (PUF) concept in the new regulation on European statistics. This implies that for the same survey both a public use file and a microdata file for scientific purposes might be available: care must be taken in designing such files in order to avoid incoherence. Finally, the problem of the impact on the coherence of an anonymisation procedure of the release of a system of surveys is briefly explored.

关键词： comparability privacy in official statistics SDC governance public use file microdata file for research

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privacy MODELING FOR VIDEO DATA PUBLICATION

PRIVACY MODELING FOR VIDEO DATA PUBLICATION

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International conference on Multimedia and Expo

作者： Saini, Mukesh Atrey, Pradeep K. Mehrotra, Sharad Emmanuel, Sabu Kankanhalli, Mohan Natl Univ Singapore Sch Comp Singapore Singapore Univ Winnipeg Dept Appl Comp Sci Winnipeg MB R3B 2E9 Canada Univ Calif Irvine Dept Informat & Comp Sci Irvine CA 92717 USA Nanyang Technol Univ Sch Comp Engn Singapore Singapore

ISBN: (纸本)9781424474936

Video cameras are being extensively used in many applications. Huge amounts of video are being recorded and stored everyday by surveillance systems. Any proposed application of this data raises severe privacy concerns. An assessment of privacy loss is necessary before any potential application of the data. In traditional methods of privacy modeling, researchers have focused on explicit means of identity leakage like facial information, etc. However, other implicit inference channels through which individual's an identity can be learned have not been considered. For example, an adversary can observe the behavior, look at the places visited and combine that with the temporal information to infer the identity of the person in the video. In this work, we thoroughly investigate privacy issues involved with the video data considering both implicit and explicit channels. We first establish an analogy with the statistical databases and then propose a model to calculate the privacy loss that might occur due to publication of the video data. The experimental results demonstrate the utility of the proposed model.

关键词： Video surveillance privacy Identity leakage

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A pairwise-systematic microaggregation for statistical disclosure control

A pairwise-systematic microaggregation for statistical discl...

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10th IEEE International conference on Data Mining, ICDM 2010

作者： Kabir, Md. Enamul Wang, Hua Zhang, Yanchun Department of Mathematics and Computing University of Southern Queensland Toowoomba QLD 4350 Australia Centre for Applied Informatics Research School of Engineering and Science Victoria University PO Box 14428 Melbourne VIC 8001 Australia

ISBN: (纸本)9780769542560

Microdata protection in statistical databases has recently become a major societal concern and has been intensively studied in recent years. statistical Disclosure Control (SDC) is often applied to statistical databases before they are released for public use. Microaggregation for SDC is a family of methods to protect microdata from individual identification. SDC seeks to protect microdata in such a way that can be published and mined without providing any private information that can be linked to specific individuals. Microaggregation works by partitioning the microdata into groups of at least k records and then replacing the records in each group with the centroid of the group. An optimal microaggregation method must minimize the information loss resulting from this replacement process. The challenge is how to minimize the information loss during the microaggregation process. This paper presents a pairwise systematic (P-S) mi-croaggregation method to minimize the information loss. The proposed technique simultaneously forms two distant groups at a time with the corresponding similar records together in a systematic way and then anonymized with the centroid of each group individually. The structure of P-S problem is defined and investigated and an algorithm of the proposed problem is developed. The performance of the P-S algorithm is compared against the most recent microaggregation methods. Experimental results show that P-S algorithm incurs less than half information loss than the latest microaggregation methods for all of the test situations. © 2010 IEEE.

关键词： Data privacy

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A secure and efficient Order Preserving Encryption Scheme for relational databases

A secure and efficient Order Preserving Encryption Scheme fo...

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作者： Kadhem, Hasan Amagasa, Toshiyuki Kitagawa, Hiroyuki Department of Computer Science Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Japan

ISBN: (纸本)9789898425300

Encryption is a well-studied technique for protecting the confidentiality of sensitive data. However, encrypting relational databases affects the performance during query processing. Preserving the order of the encrypted values is a useful technique to perform queries over the encrypted database with a reasonable overhead. Unfortunately, the existing order preserving encryption schemes are not secure against known plaintext attacks and statistical attacks. In those attacks, it is assumed that the attacker has prior knowledge about plaintext values or statistical information on the plaintext domain. This paper presents a novel database encryption scheme called MV-POPES (Multivalued - Partial Order Preserving Encryption Scheme), which allows privacy-preserving queries over encrypted databases with an improved security level. Our idea is to divide the plaintext domain into many partitions and randomize them in the encrypted domain. Then, one integer value is encrypted to different multiple values to prevent statistical attacks. At the same time, MV-POPES preserves the order of the integer values within the partitions to allow comparison operations to be directly applied on encrypted data. Our scheme is robust against known plaintext attacks and statistical attacks. MV-POPES experiments show that security for sensitive data can be achieved with reasonable overhead, establishing the practicability of the scheme.

关键词： Cryptography

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A Probabilistic Approach for On-Line Sum-Auditing

A Probabilistic Approach for On-Line Sum-Auditing

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International conference on Availability, Reliability and Security, ARES

作者： Gerardo Canfora Bice Cavallo University of Sannio Italy

ISBN: (纸本)9781424458790

In this paper we consider the problem of auditing databases which support statistical sum-queries to protect the security of sensitive information. We study the special case in which the domain of the sensitive information is a discrete set; in particular, we focus on a boolean domain. Principles and techniques developed for the security of statistical databases in the case of continuous attributes do not apply here. We provide a probabilistic framework for the on-line sum-auditing and we show that sum-queries can be audited by means of a Bayesian network. Finally, we provide a preliminary analysis of the usefulness of the probabilistic approach.

关键词： databases Data security Remuneration Information security Bayesian methods Diseases Protection Data privacy History Availability

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