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检索条件"任意字段=4th ACM Conference on Data and Application Security and Privacy, CODASPY 2014"

共 46 条记录，以下是31-40 订阅

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Inference attack against encrypted range queries on outsourced databases 14

Inference attack against encrypted range queries on outsourc...

引用

4th acm conference on data and application security and privacy, codaspy 2014

作者： Islam, Mohammad Saiful Kuzu, Mehmet Kantarcioglu, Murat Computer Science Department University of Texas at Dallas United States

ISBN: (纸本)9781450322782

To mitigate security concerns of outsourced databases, quite a few protocols have been proposed that outsource data in encrypted format and allow encrypted query execution on the server side. Among the more practical protocols, the "bucketization" approach facilitates query execution at the cost of reduced efficiency by allowing some false positives in the query results. Precise Query Protocols (PQPs), on the other hand, enable the server to execute queries without incurring any false positives. Even though these protocols do not reveal the underlying data, they reveal query access pattern to an adversary. In this paper, we introduce a general attack on PQPs based on access pattern disclosure in the context of secure range queries. Our empirical analysis on several real world datasets shows that the proposed attack is able to disclose significant amount of sensitive data with high accuracy provided that the attacker has reasonable amount of background knowledge. We further demonstrate that a slight variation of such an attack can also be used on imprecise protocols (e.g., bucketization) to disclose significant amount of sensitive information. Copyright 2014 acm.

关键词： Sensitive data

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Efficient privacy-aware search over encrypted databases 14

Efficient privacy-aware search over encrypted databases

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4th acm conference on data and application security and privacy, codaspy 2014

作者： Kuzu, Mehmet Islam, Mohammad Saiful Kantarcioglu, Murat Department of Computer Science University of Texas at Dallas Richardson TX United States

ISBN: (纸本)9781450322782

In recent years, database as a service (DAS) model where data management is outsourced to cloud service providers has become more prevalent. Although DAS model offers lower cost and flexibility, it necessitates the transfer of potentially sensitive data to untrusted cloud servers. To ensure the confidentiality, encryption of sensitive data before its transfer to the cloud emerges as an important option. Encrypted storage provides protection but it complicates data processing including crucial selective record retrieval. To achieve selective retrieval over encrypted collection, considerable amount of searchable encryption schemes have been proposed in the literature with distinct privacy guarantees. Among the available approaches, oblivious RAM based ones offer optimal privacy. However, they are computationally intensive and do not scale well to very large databases. On the other hand, almost all efficient schemes leak some information, especially data access pattern to the remote servers. Unfortunately, recent evidence on access pattern leakage indicates that adversary's background knowledge could be used to infer the contents of the encrypted data and may potentially endanger individual privacy. In this paper, we introduce a novel construction for practical and privacy-aware selective record retrieval over encrypted databases. Our approach leaks obfuscated access pattern to enable efficient retrieval while ensuring individual privacy. Applied obfuscation is based on differential privacy which provides rigorous individual privacy guarantees against adversaries with arbitrary background knowledge. Copyright 2014 acm.

关键词： Sensitive data

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OASIS: Operational access sandboxes for information security 4

OASIS: Operational access sandboxes for information security

引用

4th acm Workshop on security and privacy in Smartphones and Mobile Devices, SPSM 2014, Held in Association with the 21st acm conference on Computer and Communications security, CCS 2014

作者： Conti, Mauro Fernandes, Earlence Paupore, Justin Simionato, Daniel Università di Padova Padova Italy University of Michigan Ann ArborMI United States

ISBN: (纸本)9781450331555

Android's permission system follows an "all or nothing" approach when installing an application. the end user has no way to know how the permissions are actually used by the application, and how the sensitive data flows during its execution. With this work we present OASIS (Operational Access Sandboxes for Information security), a trusted component that allows developers to execute operations on sensitive data while keeping that data confidential. OASIS allows the end user to have full control over the data available to applications, and also grants policy based regulation of sensitive data ows. Moreover, our system can be deployed via a simple application installation, and does not require any modification to the stock Android OS. Copyright © 2014 by the Association for Computing Machinery, Inc. (acm).

关键词： Sensitive data

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Cassandra: Towards a certifying app store for android 4

Cassandra: Towards a certifying app store for android

引用

4th acm Workshop on security and privacy in Smartphones and Mobile Devices, SPSM 2014, Held in Association with the 21st acm conference on Computer and Communications security, CCS 2014

作者： Lortz, Steffen Mantel, Heiko Starostin, Artem Bähr, Timo Schneider, David Weber, Alexandra Computer Science Department TU Darmstadt Germany

ISBN: (纸本)9781450331555

Modern mobile devices store and process an abundance of data. Although many users consider some of this data as private, they do not yet obtain satisfactory support for con- Trolling what applications might do with their data. In this article, we propose Cassandra, a tool that enables users of mobile devices to check whether Android apps comply with their personal privacy requirements before in- stalling these apps. Beyond this, Cassandra implements the core functionality of a conventional app store, including the browsing of available apps and the delivery of apps for instalation. Cassandra performs the security analysis of apps on a server. However, a user does not need to trust this server be- cause Cassandra employs the proof-carrying code paradigm such that the server's analysis result can be validated on the client. We have proven that Cassandra's security analysis soundly detects all potential information leaks, i.e., allows of information that violate a user's privacy policy. Copyright © 2014 by the Association for Computing Machinery, Inc. (acm).

关键词： application programs

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privacy threat Modeling for Emerging BiobankClouds 5

Privacy Threat Modeling for Emerging BiobankClouds

引用

4th International conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICth)

作者： Gholami, Ali Lind, Anna-Sara Reichel, Jane Litton, Jan-Eric Edlund, Ake Laure, Erwin KTH Royal Inst Technol HPCViz Stockholm Sweden Uppsala Univ Fac Law & Ctr Res Ethics & Bioeth Uppsala Sweden Karolinska Inst Med Epidemiol & Biostatist Stockholm Sweden

there is an increased amount of data produced by next generation sequencing (NGS) machines which demand scalable storage and analysis of genomic data. In order to cope with this huge amount of information, many biobanks are interested in cloud computing capabilities such as on-demand elasticity of computing power and storage capacity. there are several security and privacy requirements mandated by personal data protection legislation which hinder biobanks from migrating big data generated by the NGS machines. this paper describes the privacy requirements of platform-as-service BiobankClouds according to the European data Protection Directive (DPD). It identifies several key privacy threats which leave BiobankClouds vulnerable to an attack. this study benefits health-care application designers in the requirement elicitation cycle when building privacy-preserving BiobankCloud platforms. (C) 2014 the Authors. Published by Elsevier B.V. this is an open access article under the CC BY-NC-ND license.

关键词： privacy-preservation data security cloud computing threat modeling requirement analysis

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Demo: TrustEYE.M4 - A novel platform for secure visual sensor network applications 14

Demo: TrustEYE.M4 - A novel platform for secure visual senso...

引用

8th acm/IEEE International conference on Distributed Smart Cameras, ICDSC 2014

作者： Winkler, thomas Rinner, Bernhard Institute of Networked and Embedded Systems Lakeside Labs Alpen-Adria-Universität Klagenfurt Lakeside Park B02b Klagenfurt9020 Austria

ISBN: (纸本)9781450329255

Designers of Visual Sensor Network (VSN) platforms face many challenges. Image sensors deliver large amounts of data and substantial computing power and memory are required for processing. At the same time power consumption should be kept low to facilitate battery-powered operation. the increasing deployment of VSNs also raises privacy and security related questions. In this work we present a new VSN platform called TrustEYE.M4 which is designed as a state-of-the-art research platform for the development of secure VSN applications. It integrates an ARM Cortex M4 processor, a WiFi radio, a high-performance image sensor and a dedicated security chip. We present the architecture of TrustEYE.M4 and demonstrate its capabilities with a secure video streaming application. Copyright 2014 acm.

关键词： Image sensors

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data aggregation based on saving energy and preserving privacy in wireless sensor networks 4

Data aggregation based on saving energy and preserving priva...

引用

4th International conference on Advanced Design and Manufacturing Engineering, ADME 2014

作者： Shan, Gui Jun School of Electronic Information Jiangsu University of Science and Technology Zhenjiang China School of Electronic and Information Zhenjiang College Zhenjiang China

ISBN: (纸本)9783038352570

privacy preserving plays an important role in application of the Internet of things (IoT). As apart of the IT, Wireless Sensor Networks (WSNs) should provide the privacy preserving in data aggregation. this paper presents a novel energy-saving private-preserving aggregation scheme (ESPART) for Wireless Sensor Networks, which uses characteristic of the data aggregation tree structure to reduce communication overhead. It assigns the random time pieces to nodes with aim to avoid collision, and limits the scope of collusion data to reinforce data—loss resilience. Compared with the SMART algorithm have less communication overhead. ESPART uses data-dependent fusion characteristics of the tree structure to eliminate SMART algorithm for unnecessary communication node, so that in case of the same privacy protection security, the data transmission amount is reduced to about 48% of SMART. © (2014) Trans Tech Publications, Switzerland.

关键词： Energy efficiency

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Overview of CDAMA Scheme in Wireless Sensor Network Using DAS Model

Overview of CDAMA Scheme in Wireless Sensor Network Using DA...

引用

4th International conference on Communication Systems and Network Technologies (CSNT)

作者： Mouje, Nidhi Chavhan, Nikita GH Raisoni Coll Engn & Technol Dept Comp Sci & Engn Nagpur Maharashtra India

ISBN: (纸本)9781479930708

data aggregation in Wireless Sensor Network refers to acquiring the sensed data from the sensors to the gateway node. data aggregation scheme minimize a large amount of transmission data to the base station, so that improve the energy efficiency and prolong the wireless network lifetime. CDAMA is designed by using multiple points, each of which has different order. It is designed for a multi-application environment. it mitigates the impact of compromising attacks in single application environments and degrades the damage from unauthorized aggregations. In the database-service-provider model, user's data resides on the premises of the provider. Both corporations and individuals view their data as a very valuable asset. To maintain data confidentiality, clients need to outsource their data to servers in encrypted form. At the same time, clients must still be able to execute queries over encrypted data.

关键词： data aggregation wireless sensor networks security privacy

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Session details: Novel techniques for application security 14

Session details: Novel techniques for application security

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Proceedings of the 4th acm conference on data and application security and privacy

作者： Barbara Carminati University of Insubria

No abstract available.

ISBN: (纸本)9781450322782

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Session details: privacy preserving techniques 14

Session details: Privacy preserving techniques

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Proceedings of the 4th acm conference on data and application security and privacy

作者： Murat Kantarcioglu University of Texas at Dallas

No abstract available.

ISBN: (纸本)9781450322782

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