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Key dependent message security: Recent results and applications 11

Key dependent message security: Recent results and applicati...

引用

1st acm conference on data and application security and privacy, CODASPY'11

作者： Malkin, Tal Teranishi, Isamu Yung, Moti Columbia University New York NY United States NEC Corporation Columbia University United States Google Inc. Columbia University United States

ISBN: (纸本)9781450304665

An encryption scheme is Key Dependent Message (KDM) secure if it is secure even against an attacker who has access to encryptions of messages which depend on the secret key. Recent studies have revealed that this strong security notion is important both theoretically and practically. In this paper we review the defnition, and survey recent results and applications of KDM security. Copyright 2011 acm.

关键词： Surveys

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Distributed data usage control for web applications: A social network implementation 11

Distributed data usage control for web applications: A socia...

引用

1st acm conference on data and application security and privacy, CODASPY'11

作者： Kumari, Prachi Pretschner, Alexander Peschla, Jonas Kuhn, Jens-Michael Karlsruhe Institute of Technology 76131 Karlsruhe Germany TU Kaiserslautern 67653 Kaiserslautern Germany

ISBN: (纸本)9781450304665

Usage control is concerned with how data is used after access to it has been granted. Respective enforcement mechanisms need to be implemented at different layers of abstraction in order to monitor or control data at and across all these layers. We present a usage control enforcement mechanism at the application layer. It is implemented for a common web browser and, as an example, is used to control data in a social network application. With the help of the mechanism, a data owner can, on the grounds of assigned trust values, prevent data from being printed, saved, copied&pasted, etc., after this data has been downloaded by other users. Copyright 2011 acm.

关键词： Web browsers

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privacy-enhanced reputation-feedback methods to reduce feedback extortion in online auctions 11

Privacy-enhanced reputation-feedback methods to reduce feedb...

引用

1st acm conference on data and application security and privacy, CODASPY'11

作者： Goodrich, Michael T. Kerschbaum, Florian Dept. of Computer Science University of California Irvine CA 92697-3435 United States SAP Research Vincenz-Priessnitz-Str. 1 76131 Karlsruhe Germany

ISBN: (纸本)9781450304665

In this paper, we study methods for improving the utility and privacy of reputation scores for online auctions, such as used in eBay, so as to reduce the effectiveness of feedback extortion. The main idea behind our techniques is to escrow reputations scores until appropriate external events occur. Depending on the degree of utility and privacy needed, these external techniques could depend on the number and type of reputation scores collected. Moreover, if additional privacy protection is needed, then random sampling can be used with respect reputation scores in such a way that reputation aggregates remain useful, but individual reputation scores are probabilistically hidden from users. Finally, we show that if privacy is also desired with respect to the the reputation aggregator, then we can use zero-knowledge proofs for reputation comparisons. Copyright 2011 acm.

关键词： Game theory

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Implementation and performance evaluation of privacy-preserving fair reconciliation protocols on ordered sets 11

Implementation and performance evaluation of privacy-preserv...

引用

1st acm conference on data and application security and privacy, CODASPY'11

作者： Mayer, Daniel A. Teubert, Dominik Wetzel, Susanne Meyer, Ulrike Stevens Institute of Technology Castle Point on Hudson Hoboken NJ 07030 United States UMIC Research Center RWTH Aachen University Aachen Germany

ISBN: (纸本)9781450304665

Recently, new protocols were proposed which allow two parties to reconcile their ordered input sets in a fair and privacy-preserving manner. In this paper we present the design and implementation of these protocols on different platforms and extensively study their performance. In particular, we present the design of a library for privacy-preserving reconciliation protocols and provide details on an efficient C++ implementation of this design. Furthermore, we present details on the implementation of a privacy-preserving iPhone application built on top of this library. The performance of both the library and the iPhone application are comprehensively analyzed. Our performance tests show that it is possible to efficiently implement private set intersection as a generic component on a desktop computer. Furthermore, the tests confirm the theoretically determined quadratic worst-case behavior of the privacy-preserving reconciliation protocols on the desktop as well as the iPhone platform. The main result of the performance analysis is that the protocols show linear runtime performance for average-case inputs. This is a significant improvement over the worst-case and is key for making these protocols highly viable for a wider range of applications in practice. Copyright 2011 acm.

关键词： Set theory

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Enforcing physically restricted access control for remote data 11

Enforcing physically restricted access control for remote da...

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1st acm conference on data and application security and privacy, CODASPY'11

作者： Kirkpatrick, Michael S. Kerr, Sam Department of Computer Science Purdue University West Lafayette IN 47907 United States

ISBN: (纸本)9781450304665

In a distributed computing environment, remote devices must often be granted access to sensitive information. In such settings, it is desirable to restrict access only to known, trusted devices. While approaches based on public key infrastructure and trusted hardware can be used in many cases, there are settings for which these solutions are not practical. In this work, we define physically restricted access control to reflect the practice of binding access to devices based on their intrinsic properties. Our approach is based on the application of physically unclonable functions. We define and formally analyze protocols enforcing this policy, and present experimental results observed from developing a prototype implementation. Our results show that non-deterministic physical properties of devices can be used as a reliable authentication and access control factor. Copyright 2011 acm.

关键词： Access control

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Towards defining semantic foundations for purpose-based privacy policies 11

Towards defining semantic foundations for purpose-based priv...

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1st acm conference on data and application security and privacy, CODASPY'11

作者： Jafari, Mohammad Fong, Philip W.L. Safavi-Naini, Reihaneh Barker, Ken Sheppard, Nicholas Paul Department of Computer Science University of Calgary 2500 University DR NW Calgary AB T2N-1N4 Canada Library eServices Queensland University of Technology GPO Box 2434 Brisbane QLD 4001 Australia

ISBN: (纸本)9781450304665

We define a semantic model for purpose, based on which purpose-based privacy policies can be meaningfully expressed and enforced in a business system. The model is based on the intuition that the purpose of an action is determined by its situation among other inter-related actions. Actions and their relationships can be modeled in the form of an action graph which is based on the business processes in a system. Accordingly, a modal logic and the corresponding model checking algorithm are developed for formal expression of purpose-based policies and verifying whether a particular system complies with them. It is also shown through various examples, how various typical purpose-based policies as well as some new policy types can be expressed and checked using our model. Copyright 2011 acm.

关键词： Access control

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Mixture of Gaussian models and bayes error under differential privacy 11

Mixture of Gaussian models and bayes error under differentia...

引用

1st acm conference on data and application security and privacy, CODASPY'11

作者： Xi, Bowei Kantarcioǧlu, Murat Inan, Ali Department of Statistics Purdue University United States Dept. of Computer Science University of Texas Dallas United States Dept. of Computer Eng. Isik University Istanbul Turkey

ISBN: (纸本)9781450304665

Gaussian mixture models are an important tool in Bayesian decision theory. In this study, we focus on building such models over statistical database protected under differential privacy. Our approach involves querying necessary statistics from a database and building a Bayesian classifier over the noise added responses generated according to differential privacy. We formally analyze the sensitivity of our query set. Since there are multiple methods to query a statistic, either directly or indirectly, we analyze the sensitivities for different querying methods. Furthermore we establish theoretical bounds for the Bayes error for the univariate (one dimensional) case. We study the Bayes error for the multivariate (high dimensional) case in experiments with both simulated data and real life data. We discover that adding Laplace noise to a statistic under certain constraint is problematic. For example variance-covariance matrix is no longer positive definite after noise addition. We propose a heuristic method to fix the noise added variance-covariance matrix. Copyright 2011 acm.

关键词： Classification (of information)

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Identifying a critical threat to privacy through automatic image classification 11

Identifying a critical threat to privacy through automatic i...

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1st acm conference on data and application security and privacy, CODASPY'11

作者： Lorenzi, David Vaidya, Jaideep Rutgers University 1 Washington Park Newark NJ 07102 United States

ISBN: (纸本)9781450304665

Image classification, in general, is considered a hard problem, though it is necessary for many useful applications such as automatic target recognition. Indeed, no general methods exist that can work in varying scenarios and still achieve good performance across the board. In this paper, we actually identify a very interesting problem, where image classification is dangerously easy. We look at the problem of image classification, in the specific context of accurately classifying images containing highly sensitive data such as drivers licenses, credit cards and passports. Our key contribution is to build a Hierarchical Temporal Memory (HTM) network that is able to classify many sensitive images with over 90% accuracy, and use this to develop a system to automatically derive and transcribe sensitive information from image data. Our system classifies images into two groups - sensitive and non-sensitive. The group of sensitive images can then be further analyzed. This is a real world security issue that could easily lead to privacy problems such as identity theft, since scans of passports and drivers licenses are routinely emailed or kept in digital form, and many local documents are left unencrypted. Essentially, an attacker can use data mining and machine learning techniques very effectively to breach individual privacy. Thus, our main contribution is to demonstrate the efficacy of image classification for deriving sensitive information, which could also serve as a guide for other interesting applications such as document detection and analysis. Thus, it also serves as a warning against leaving data unencrypted and again proves that security through obscurity is simply not enough. Copyright 2011 acm.

关键词： Learning systems

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Old, new, borrowed, blue - A perspective on the evolution of mobile platform security architectures 11

Old, new, borrowed, blue - A perspective on the evolution of...

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1st acm conference on data and application security and privacy, CODASPY'11

作者： Kostiainen, Kari Reshetova, Elena Ekberg, Jan-Erik Asokan, N. Nokia Research Center Finland

ISBN: (纸本)9781450304665

The recent dramatic increase in the popularity of "smartphones" has led to increased interest in smartphone security research. From the perspective of a security researcher the noteworthy attributes of a modern smartphone are the ability to install new applications, possibility to access Internet and presence of private or sensitive information such as messages or location. These attributes are also present in a large class of more traditional "feature phones." Mobile platform security architectures in these types of devices have seen a much larger scale of deployment compared to platform security architectures designed for PC platforms. In this paper we start by describing the business, regulatory and end-user requirements which paved the way for this widespread deployment of mobile platform security architectures. We briey describe typical hardware-based security mechanisms that provide the foundation for mobile platform security. We then describe and compare the currently most prominent open mobile platform security architectures and conclude that many features introduced recently are borrowed, or adapted with a twist, from older platform security architectures. Finally, we identify a number of open problems in designing effective mobile platform security. Copyright 2011 acm.

关键词： Smartphones

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privacy-preserving activity scheduling on mobile devices 11

Privacy-preserving activity scheduling on mobile devices

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1st acm conference on data and application security and privacy, CODASPY'11

作者： Bilogrevic, Igor Jadliwala, Murtuza Hubaux, Jean-Pierre Aad, Imad Niemi, Valtteri EPFL CH-1015 Lausanne Switzerland Nokia Research Center CH-1015 Lausanne Switzerland

ISBN: (纸本)9781450304665

Progress in mobile wireless technology has resulted in the increased use of mobile devices to store and manage users' personal schedules. Users also access popular context-based services, typically provided by third-party providers, by using these devices for social networking, dating and activity-partner searching applications. Very often, these applications need to determine common availabilities among a set of user schedules. The privacy of the scheduling operation is paramount to the success of such applications, as often users do not want to share their personal schedules with other users or third-parties. Previous research has resulted in solutions that provide privacy guarantees, but they are either too complex or do not fit well in the popular user-provider operational model. In this paper, we propose practical and privacy-preserving solutions to the server-based scheduling problem. Our novel algorithms take advantage of the homomorphic properties of well-known cryptosystems in order to privately compute common user availabilities. We also formally outline the privacy requirements in such scheduling applications and we implement our solutions on real mobile devices. The experimental measurements and analytical results show that the proposed solutions not only satisfy the privacy properties but also fare better, in regard to computation and communication efficiency, compared to other well-known solutions. Copyright 2011 acm.

关键词： Cryptography

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