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检索条件"任意字段=Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy"

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Exploring dependency for query privacy protection in location-based services 13

Exploring dependency for query privacy protection in locatio...

引用

3rd acm conference on data and application security and privacy, CODASPY 2013

作者： Chen, Xihui Pang, Jun Interdisciplinary Centre for Security Reliability and Trust University of Luxembourg Luxembourg Faculty of Science Technology and Communication University of Luxembourg Luxembourg

ISBN: (纸本)9781450318907

Location-based services have been enduring a fast development for almost fifteen years. Due to the lack of proper privacy protection, especially in the early stage of the development, an enormous amount of user request records have been collected. This exposes potential threats to users' privacy as new contextual information can be extracted from such records. In this paper, we study query dependency which can be derived from users' request history, and investigate its impact on users' query privacy. To achieve our goal, we present an approach to compute the probability for a user to issue a query, by taking into account both user's query dependency and observed requests. We propose new metrics incorporating query dependency for query privacy, and adapt spatial generalisation algorithms in the literature to generate requests satisfying users' privacy requirements expressed in the new metrics. Through experiments, we evaluate the impact of query dependency on query privacy and show that our proposed metrics and algorithms are effective and efficient for practical applications. Copyright 2013 acm.

关键词： Location based services

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AppProfiler: A flexible method of exposing privacy-related behavior in android applications to end users 13

AppProfiler: A flexible method of exposing privacy-related b...

引用

3rd acm conference on data and application security and privacy, CODASPY 2013

作者： Rosen, Sanae Qian, Zhiyun Morley Mao, Z. University of Michigan Ann Arbor MI United States

ISBN: (纸本)9781450318907

Although Android's permission system is intended to allow users to make informed decisions about their privacy, it is often ineffective at conveying meaningful, useful information on how a user's privacy might be impacted by using an application. We present an alternate approach to providing users the knowledge needed to make informed decisions about the applications they install. First, we create a knowledge base of mappings between API calls and fine-grained privacy-related behaviors. We then use this knowledge base to produce, through static analysis, high-level behavior profiles of application behavior. We have analyzed almost 80,000 applications to date and have made the resulting behavior profiles available both through an Android application and online. Nearly 1500 users have used this application to date. Based on 2782 pieces of application-specific feedback, we analyze users' opinions about how applications affect their privacy and demonstrate that these profiles have had a substantial impact on their understanding of those applications. We also show the benefit of these profiles in understanding large-scale trends in how applications behave and the implications for user privacy. Copyright 2013 acm.

关键词： Android (operating system)

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Engineering access control policies for provenance-aware systems 13

Engineering access control policies for provenance-aware sys...

引用

3rd acm conference on data and application security and privacy, CODASPY 2013

作者： Sun, Lianshan Park, Jaehong Sandhu, Ravi Dept. of Computer Science Shaanxi Univ. of Sci. and Tech Xi'an Shaanxi China Insitute for Cyber Security Univ. of Texas at San Antonio San Antonio TX United States

ISBN: (纸本)9781450318907

Provenance is meta-data about how data items become what they are. A variety of provenance-aware access control models and policy languages have been recently discussed in the literature. However, the issue of eliciting access control requirements related to provenance and of elaborating them as provenance-aware access control policies (ACPs) has received much less attention. This paper explores the approach to engineering provenance-aware ACPs since the beginning of software development. Specifically, this paper introduces a typed provenance model (TPM) to abstract complex provenance graph and presents a TPM-centric process for identification, specification, and refinement of provenance-aware ACPs. We illustrate this process by means of a homework grading system. Copyright 2013 acm.

关键词： Access control

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Do online social network friends still threaten my privacy? 13

Do online social network friends still threaten my privacy?

引用

3rd acm conference on data and application security and privacy, CODASPY 2013

作者： Labitzke, Sebastian Werling, Florian Mittag, Jens Hartenstein, Hannes Germany

ISBN: (纸本)9781450318907

A user's online social network (OSN) friends commonly share information on their OSN profiles that might also characterize the user him-/herself. Therefore, OSN friends are potentially jeopardizing users' privacy. Previous studies demonstrated that third parties can potentially infer personally identifiable information (PII) based on information shared by users' OSN friends if sufficient information is accessible. However, when considering how privacy settings have been adjusted since then, it is unclear which attributes can still be predicted this way. In this paper, we present an empirical study on PII of Facebook users and their friends. We show that certain pieces of PII can easily be inferred. In contrast, other attributes are rarely made publicly available and/or correlate too little so that not enough information is revealed for intruding user privacy. For this study, we analyzed more than 1.2 million OSN profiles in a compliant manner to investigate the privacy risk due to attribute prediction by third parties. The data shown in this paper provides the basis for acting in a risk aware fashion in OSNs. Copyright 2013 acm.

关键词： Social networking (online)

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Adaptive data protection in distributed sysems

Adaptive data protection in distributed sysems

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3rd acm conference on data and application security and privacy, CODASPY 2013

作者： Squicciarini, Anna Cinzia Petracca, Giuseppe Bertino, Elisa College of Information Sciences and Technology Pennsylvania State University University Park PA 16802 United States Computer Science Department Purdue University West Lafayette IN 47906 United States

ISBN: (纸本)9781450318907

security is an important barrier to wide adoption of distributed systems for sensitive data storage and management. In particular, one unsolved problem is to ensure that customers data protection policies are honored, regardless of where the data is physically stored and how often it is accessed, modified, and duplicated. This issue calls for two requirements to be satisfied. First, data should be managed in accordance to both owners' preferences and to the local regulations that may apply. Second, although multiple copies may exist, a consistent view across copies should be maintained. Toward addressing these issues, in this work we propose innovative policy enforcement techniques for adaptive sharing of users' outsourced data. We introduce the notion of autonomous self-controlling objects (SCO), that by means of object-oriented programming techniques, encapsulate sensitive resources and assure their protection by means of adaptive security policies of various granularity, and synchronization protocols. Through extensive evaluation, we show that our approach is effective and efficiently manages multiple data copies. Copyright 2013 acm.

关键词： Sensitive data

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Accepting the inevitable: Factoring the user into home computer security 13

Accepting the inevitable: Factoring the user into home compu...

引用

3rd acm conference on data and application security and privacy, CODASPY 2013

作者： Urbanska, Malgorzata Roberts, Mark Ray, Indrajit Howe, Adele Byrne, Zinta Department of Computer Science Colorado State University Fort Collins CO 80523 United States Department of Psychology Colorado State University Fort Collins CO 80523 United States

ISBN: (纸本)9781450318907

Home computer users present unique challenges to computer security. A user's actions frequently affect security without the user understanding how. Moreover, whereas some home users are quite adept at protecting their machines from security threats, a vast majority are not. Current generation security tools, unfortunately, do not tailor security to the home user's needs and actions. In this work, we propose Personalized Attack Graphs (PAG) as a formal technique to model the security risks for the home computer informed by a profile of the user attributes such as preferences, threat perceptions and activities. A PAG also models the interplay between user activities and preferences, attacker strategies, and system activities within the system risk model. We develop a formal model of a user profile to personalize a single, monolithic PAG to different users, and show how to use the user profile to predict user actions. Copyright 2013 acm.

关键词： User profile

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Geolocation of data in the cloud 13

Geolocation of data in the cloud

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3rd acm conference on data and application security and privacy, CODASPY 2013

作者： Gondree, Mark Peterson, Zachary N. J. Naval Postgraduate School 1 University Circle Monterey CA 93940 United States

ISBN: (纸本)9781450318907

We introduce and analyze a general framework for authentically binding data to a location while providing strong assurances against cloud storage providers that (either accidentally or maliciously) attempt to relocate cloud data. We then evaluate a preliminary solution in this framework that combines constraint-based host geolocation with proofs of data possession, called constraint-based data geolocation (CBDG). We evaluate CBDG using a combination of experiments with PlanetLab and real cloud storage services, demonstrating that we can bind fetched data to the location originally hosting it with high precision. We geolocate data hosted on the majority of our PlanetLab targets to regions no larger than 118,000 km2, and we geolocate data hosted on Amazon S3 to an area no larger than 12,000 km2, sufficiently small to identify the state or service region. Copyright 2013 acm.

关键词： Cloud storage

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data usage control enforcement in distributed systems 13

Data usage control enforcement in distributed systems

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3rd acm conference on data and application security and privacy, CODASPY 2013

作者： Kelbert, Florian Pretschner, Alexander Technische Universität München Garching bei München Germany

ISBN: (纸本)9781450318907

Distributed usage control is concerned with how data may or may not be used in distributed system environments after initial access has been granted. If data flows through a distributed system, there exist multiple copies of the data on different client machines. Usage constraints then have to be enforced for all these clients. We extend a generic model for intra-system data flow tracking-that has been designed and used to track the existence of copies of data on single clients-to the cross-system case. When transferring, i.e., copying, data from one machine to another, our model makes it possible to (1) transfer usage control policies along with the data to the end of local enforcement at the receiving end, and (2) to be aware of the existence of copies of the data in the distributed system. As one example, we concretize "transfer of data" to the Transmission Control Protocol (TCP). Based on this concretized model, we develop a distributed usage control enforcement infrastructure that generically and application-independently extends the scope of usage control enforcement to any system receiving usagecontrolled data. We instantiate and implement our work for OpenBSD and evaluate its security and performance. Copyright 2013 acm.

关键词： Transmission control protocol

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IBigTable: Practical data integrity for bigtable in public cloud 13

IBigTable: Practical data integrity for bigtable in public c...

引用

3rd acm conference on data and application security and privacy, CODASPY 2013

作者： Wei, Wei Yu, Ting Xue, Rui North Carolina State University 890 Oval Drive Raleigh NC United States Chinese Academy of Sciences State Key Lab. of Information Security Institute of Information Engineering China

ISBN: (纸本)9781450318907

BigTable is a distributed storage system that is designed to manage large-scale structured data. Deploying BigTable in a public cloud is an economic storage solution to small businesses and researchers who need to deal with data processing tasks over large amount of data but often lack capabilities to obtain their own powerful clusters. As one may not always trust the public cloud provider, one important security issue is to ensure the integrity of data managed by BigTable running at the cloud. In this paper, we present iBigTable, an enhancement of BigTable that provides scalable data integrity assurance. We explore the practicality of different authenticated data structure designs for BigTable, and design a set of security protocols to efficiently and flexibly verify the integrity of data returned by BigTable. More importantly, iBigtable preserves the simplicity, applicability and scalability of BigTable, so that existing applications over BigTable can interact with iBigTable seamlessly with minimum or no change of code (depending on the mode of iBigTable). We implement a prototype of iBigTable based on HBase, an open source BigTable implementation. Our experimental results show that iBigTable imposes reasonable performance overhead while providing integrity assurance. Copyright 2013 acm.

关键词： Big data

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FENCE: Continuous Access control enforcement in dynamic data stream environments 13

FENCE: Continuous Access control enforcement in dynamic data...

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3rd acm conference on data and application security and privacy, CODASPY 2013

作者： Nehme, Rimma V. Lim, Hyo-Sang Bertino, Elisa Microsoft Jim Gray Systems Lab United States Computer and Telecommunications Engineering Division Yonsei University Korea Republic of Department of Computer Science and Cyber Center Purdue University United States

ISBN: (纸本)9781450318907

In this paper, we address the problem of continuous access control enforcement in dynamic data stream environments, where both data and query security restrictions may potentially change in realtime. We present FENCE framework that effectively addresses this problem. The distinguishing characteristics of FENCE include: (1) the stream-centric approach to security, (2) the symmetric model for security settings of both continuous queries and streaming data, and (3) two alternative security-aware query processing approaches that can optimize query execution based on regular and securityrelated selectivities. In FENCE, both data and query security restrictions are modeled symmetrically in the form of security metadata, called "security punctuations" embedded inside data streams. We distinguish between two types of security punctuations, namely, the data security punctuations (or short, dsps) which represent the access control policies of the streaming data, and the query security punctuations (or short, qsps) which describe the access authorizations of the continuous queries. We also present our encoding method to support XacmL(eXtensible Access ControlMarkup Language) standard. We have implemented FENCE in a prototype DSMS and present our performance evaluation. The results of our experimental study show that FENCE's approach has low overhead and can give great performance benefits compared to the alternative security solutions for streaming environments. Copyright 2013 acm.

关键词： Access control

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