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Quantitative access control with partially-observable Markov decision processes 12

Quantitative access control with partially-observable Markov...

引用

2nd acm conference on data and application security and privacy, CODASPY'12

作者： Martinelli, Fabio Morisset, Charles Security Group IIT-CNR Pisa Italy

ISBN: (纸本)9781450310918

This paper presents a novel access control framework reducing the access control problem to a traditional decision problem, thus allowing a policy designer to reuse tools and techniques from the decision theory. We propose here to express, within a single framework, the notion of utility of an access, decisions beyond the traditional allowing/denying of an access, the uncertainty over the effect of executing a given decision, the uncertainty over the current state of the system, and to optimize this process for a (probabilistic) sequence of requests. We show that an access control mechanism including these different concepts can be specified as a (Partially Observable) Markov Decision Process, and we illustrate this framework with a running example, which includes notions of conflict, critical resource, mitigation and auditing decisions, and we show that for a given sequence of requests, it is possible to calculate an optimal policy different from the naive one. This optimization is still possible even for several probable sequences of requests. © 2012 acm.

关键词： Access control

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The privacy in the Time of the Internet: Secrecy vs Transparency 12

The Privacy in the Time of the Internet: Secrecy vs Transpar...

引用

2nd acm conference on data and application security and privacy, CODASPY'12

作者： Pontual, Murillo Gampe, Andreas Chowdhury, Omar Kone, Bazoumana Ashik, Md. Shamim Winsborough, William H. The University of Texas at San Antonio United States

ISBN: (纸本)9781450310918

In the current time of the Internet, specifically with the emergence of social networking, people are sharing both sensitive and non-sensitive information among each other without understanding its consequences. Federal regulations exist to mandate how sensitive information (e.g., SSN, health records, etc.) of a person can be shared (or, used) by organizations. However, there are no established norms or practices regarding how information that is deemed to be not sensitive may be used or shared. Furthermore, for the sake of transparency, different organizations reveal small amounts of non-sensitive information (i.e., photos, salaries, work hours, size of the houses, etc.) about their clients or employees. Although such information seems insignificant, the aggregation of it can be used to create a partial profile of a person which can later be used by malicious parties for robbery, extortion, kidnapping, etc. The goal of this work is to create awareness by demonstrating that it is plausible to create such a partial profile of a person just by crawling the Internet. For this, we have developed an open source framework that generates batch crawlers to create partial profiles of individuals. We also show empirical comparisons of the amount of information that can be gathered by using free and also paid websites. © 2012 acm.

关键词： Transparency

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Stalking Online: on User privacy in Social Networks 12

Stalking Online: on User Privacy in Social Networks

引用

2nd acm conference on data and application security and privacy, CODASPY'12

作者： Yang, Yuhao Lutes, Jonathan Li, Fengjun Luo, Bo Liu, Peng Department of Eecs The University of Kansas LawrenceKS United States College of Ist The Pennsylvania State University University ParkPA United States

ISBN: (纸本)9781450310918

With the extreme popularity of Web and online social networks, a large amount of personal information has been made available over the Internet. On the other hand, advances in information retrieval, data mining and knowledge discovery technologies have enabled users to efficiently satisfy their information needs over the Internet or from large-scale data sets. However, such technologies also help the adversaries such as web stalkers to discover private information about their victims from mass data. In this paper, we study privacy-sensitive information that are accessible from the Web, and how these information could be utilized to discover personal identities. In the proposed scenario, an adversary is assumed to possess a small piece of "seed"information about a targeted user, and conduct extensive and intelligent search to identify the target over both the Web and an information repository collected from the Web. In particular, two types of attackers are modeled, namely tireless attackers and resourceful attackers. We then analyze detailed attacking mechanisms that could be performed by these attackers, and quantify the threats of both types of attacks to general Web users. With extensive experiments and sophisticated analysis, we show that a large portion of users with online presence are highly identifiable, even when only a small piece of (possibly inaccurate) seed information is known to the attackers. © 2012 acm.

关键词： Social networking (online)

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Short paper: Location privacy: User behavior in the field

Short paper: Location privacy: User behavior in the field

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2nd acm Workshop on security and privacy in Smartphones and Mobile Devices, SPSM 2012

作者： Fisher, Drew Dorner, Leah Wagner, David Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA 94720-1776 United States

ISBN: (纸本)9781450316668

Current smartphone platforms provide ways for users to control access to information about their location. For instance, on the iPhone, when an application requests access to location information, the operating system asks the user whether to grant location access to this application. In this paper, we study how users are using these controls. Do iPhone users allow applications to access their location? Do their decisions differ from application to application? Can we predict how a user will respond for a particular application, given their past responses for other applications? We gather data from iPhone users that sheds new light on these questions. Our results indicate that there are different classes of users: some deny all applications access to their location, some allow all applications access to their location, and some selectively permit a fraction of their applications to access their location. We also find that apps can be separated into different classes by what fraction of users trust the app with their location data. Finally, we investigate using machine learning techniques to predict users' location-sharing decisions;we find that we are sometimes able to predict the user's actual choice, though there is considerable room for improvement. If it is possible to improve the accuracy rate further, this information could be used to relieve users of the cognitive burden of individually assigning location permissions for each application, allowing users to focus their attention on more critical matters.

关键词： Smartphones

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Cachet: A decentralized architecture for privacy preserving social networking with caching 12

Cachet: A decentralized architecture for privacy preserving ...

引用

8th acm International conference on Emerging Networking EXperiments and Technologies, CoNEXT 2012

作者： Nilizadeh, Shirin Jahid, Sonia Mittal, Prateek Borisov, Nikita Kapadia, Apu Indiana University Bloomington United States University of Illinois Urbana-Champaign United States University of California Berkeley United States

ISBN: (纸本)9781450317757

Online social networks (OSNs) such as Facebook and Google+ have transformed the way our society communicates. However, this success has come at the cost of user privacy;in today's OSNs, users are not in control of their own data, and depend on OSN operators to enforce access control policies. A multitude of privacy breaches has spurred research into privacy-preserving alternatives for social networking, exploring a number of techniques for storing, disseminating, and controlling access to data in a decentralized fashion. In this paper, we argue that a combination of techniques is necessary to efficiently support the complex functionality requirements of OSNs. We propose Cachet, an architecture that provides strong security and privacy guarantees while preserving the main functionality of online social networks. In particular, Cachet protects the confidentiality, integrity and availability of user content, as well as the privacy of user relationships. Cachet uses a distributed pool of nodes to store user data and ensure availability. Storage nodes in Cachet are untrusted;we leverage cryptographic techniques such as attribute-based encryption to protect the confidentiality of data. For efficient dissemination and retrieval of data, Cachet uses a hybrid structured-unstructured overlay paradigm in which a conventional distributed hash table is augmented with social links between users. Social contacts in our system act as caches to store recent updates in the social network, and help reduce the cryptographic as well as the communication overhead in the network. We built a prototype implementation of Cachet in the FreePastry simulator. To demonstrate the functionality of existing OSNs we implemented the 'newsfeed' application. Our evaluation demonstrates that (a) decentralized architectures for privacy preserving social networking are feasible, and (b) use of social contacts for object caching results in significant performance improvements. © 2012 acm.

关键词： Social networking (online)

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Understanding and improving app installation security mechanisms through empirical analysis of android

Understanding and improving app installation security mechan...

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2nd acm Workshop on security and privacy in Smartphones and Mobile Devices, SPSM 2012

作者： Barrera, David Clark, Jeremy McCarney, Daniel Van Oorschot, Paul C. School of Computer Science Carleton University Canada

ISBN: (纸本)9781450316668

We provide a detailed analysis of two largely unexplored aspects of the security decisions made by the Android op-erating system during the app installation process: update integrity and UID assignment. To inform our analysis, we collect a dataset of Android application metadata and ex-tract features from these binaries to gain a better under-standing of how developers interact with the security mech-anisms invoked during installation. Using the dataset, we find empirical evidence that Android's current signing ar-chitecture does not encourage best security practices. We also find that limitations of Android's UID sharing method force developers to write custom code rather than rely on OS-level mechanisms for secure data transfer between apps. As a result of our analysis, we recommend incrementally de-ployable improvements, including a novel UID sharing mech-anism with applicability to signature-level permissions. We additionally discuss mitigation options for a security bug in Google's Play store, which allows apps to transparently obtain more privileges than those requested in the manifest.

关键词： application programs

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CODASPY'11 - proceedings of the 1st acm conference on data and application security and privacy

CODASPY'11 - Proceedings of the 1st ACM Conference on Data a...

引用

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

ISBN: (纸本)9781450304665

The proceedings contain 27 papers. The topics discussed include: distributed data usage control for web applications: a social network implementation;MyABDAC: compiling XacmL policies for attribute-based database access control;implementation and performance evaluation of privacy-preserving fair reconciliation protocols on ordered sets;an empirical assessment of approaches to distributed enforcement in role-based access control (RBAC);a language for provenance access control;non-interactive editable signatures for assured data provenance;identifying a critical threat to privacy through automatic image classification;k-out-of-n oblivious transfer based on homomorphic encryption and solvability of linear equations;mixture of gaussian models and bayes error under differential privacy;relationship-based access control: protection model and policy language;and enforcing physically restricted access control for remote data.

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Risk-based security decisions under uncertainty 12

Risk-based security decisions under uncertainty

引用

2nd acm conference on data and application security and privacy, CODASPY'12

作者： Molloy, Ian Dickens, Luke Morisset, Charles Cheng, Pau-Chen Lobo, Jorge Russo, Alessandra Ibm Research Tj Watson HawthorneNY United States Imperial College London United Kingdom Security Group IIT-CNR Pisa Italy

ISBN: (纸本)9781450310918

This paper addresses the making of security decisions, such as access-control decisions or spam filtering decisions, under uncertainty, when the benefit of doing so outweighs the need to absolutely guarantee these decisions are correct. For instance, when there are limited, costly, or failed communication channels to a policy-decision-point. Previously, local caching of decisions has been proposed, but when a correct decision is not available, either a policy-decision-point must be contacted, or a default decision used. We improve upon this model by using learned classifiers of access control decisions. These classifiers, trained on known decisions, infer decisions when an exact match has not been cached, and uses intuitive notions of utility, damage and uncertainty to determine when an inferred decision is preferred over contacting a remote PDP. Clearly there is uncertainty in the predicted decisions, introducing a degree of risk. Our solution proposes a mechanism to quantify the uncertainty of these decisions and allows administrators to bound the overall risk posture of the system. The learning component continuously refines its models based on inputs from a central policy server in cases where the risk is too high or there is too much uncertainty. We have validated our models by building a prototype system and evaluating it with requests from real access control policies. Our experiments show that over a range of system parameters, it is feasible to use machine learning methods to infer access control policies decisions. Thus our system yields several benefits, including reduced calls to the PDP, reducing latency and communication costs;increased net utility;and increased system survivability. © 2012 acm.

关键词： Access control

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CODASPY'11 - proceedings of the 1st acm conference on data and application security and privacy: Foreword

CODASPY'11 - Proceedings of the 1st ACM Conference on Data a...

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CODASPY'11 - proceedings of the 1st acm conference on data and application security and privacy 2011年 iii页

作者： Sandhu, Ravi Bertino, Elisa University of Texas San Antonio United States Purdue University United States

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The challenge of data and application security and privacy (DASPY)

The challenge of data and application security and privacy (...

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

作者： Sandhu, Ravi Institute for Cyber Security University of Texas San Antonio TX United States

This talk gives a personal perspective on the topic area of this new conference on data and application security and privacy, the difficult nature of the challenge we are confronting and possible research thrusts that... 详细信息

ISBN: (纸本)9781450304665

关键词： data privacy

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