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

共 556 条记录，以下是411-420 订阅

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Detecting man-in-the-middle attacks on non-mobile systems 14

Detecting man-in-the-middle attacks on non-mobile systems

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

作者： Vallivaara, Visa Sailio, Mirko Halunen, Kimmo VTT Technical Research Center of Finland Finland

ISBN: (纸本)9781450322782

In this paper we propose a method for detecting man-in-themiddle attacks using the timestamps of TCP packet headers. From these timestamps, the delays can be calculated and by comparing the mean of the delays in the current connection to data gathered from previous sessions it is possible to detect if the packets have unusually long delays. We show that in our small case study we can find and set a threshold parameter that accurately detects man-in-the-middle attacks with a low probability of false positives. Thus, it may be used as a simple precautionary measure against malicious attacks. The method in its current form is limited to nonmobile systems, where the variations in the delay are fairly low and uniform. Copyright is held by the author/owner(s).

关键词： Network security

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privacy-preserving publication of provenance workflows 14

Privacy-preserving publication of provenance workflows

引用

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

作者： Maruseac, Mihai Ghinita, Gabriel Rughinis, Razvan UMass Boston United States Politehnica Univ. Bucharest Romania

ISBN: (纸本)9781450322782

Provenance workflows capture the data movement and the operations changing the data in complex applications such as scientific computations, document management in large organizations, content generation in social media, etc. Provenance is essential to understand the processes and operations that data undergo, and many research efforts focused on modeling, capturing and analyzing provenance information. Sharing provenance brings numerous benefits, but may also disclose sensitive information, such as secret processes of synthesizing chemical substances, confidential business practices and private details about social media participants' lives. In this paper, we study privacy-preserving provenance workflow publication using differential privacy. We adapt techniques designed for sanitization of multi-dimensional spatial data to the problem of provenance workflows. Experimental results show that such an approach is feasible to protect provenance workflows, while at the same time retaining a significant amount of utility for queries. In addition, we identify influential factors and trade-offs that emerge when sanitizing provenance workflows. Copyright is held by the author/owner(s).

关键词： Information services

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Aligning security and Business Objectives for Process-Aware Information Systems 15

Aligning Security and Business Objectives for Process-Aware ...

引用

proceedings of the 5th acm conference on data and application security and privacy

作者： Günter Karjoth Lucerne University of Applied Sciences and Arts Lucerne Switzerland

ISBN: (纸本)9781450331913

Enterprises are increasingly subject to compliance rules that originate from corporate guidelines, industry sector standards, and laws. The goal of access control is to protect against unauthorized users. However, threats also often reside within organizations where authorized users may misuse system resources. Although access control is fundamental in protecting information systems, it can pose an obstacle to achieving business objectives. Today, security policies have to be aligned with the business goals and are not anymore a purely technical issue. Business processes are therefore of special interest. When described by workflows, they define the causal dependencies between a set of tasks, whose execution constitutes a business objective. Already in 1999, Bertino, Ferrari and Atluri showed how to specify and enforce authorization constraints in workflow management systems [1]. But only in recent years, triggered by the raise of high-level modeling languages such as the Business Process Model and Notation (BPMN), business processes were enhanced with compliance requirements in terms of process annotations, tying the control objectives into the execution *** talk will look at recent research results in this area, including approaches to scope authorization constraints within workflows with loops and conditional execution [2], to capture the effects of enforcement on business objectives [3], and to select the optimal between multiple authorization policies satisfying the given constraints [4].This work was mainly done in collaboration with Samuel Burri, when we both were at IBM Research -- Zurich, and David Basin from ETH Zurich.

关键词： workflow cost-minimizing authorization policy access control enforcement separation of duty compliance obstruction business process

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OASIS: Operational access sandboxes for information security 4

OASIS: Operational access sandboxes for information security

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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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Non-invasive user tracking via passive sensing: privacy risks of time-series occupancy measurement 7

Non-invasive user tracking via passive sensing: Privacy risk...

引用

2014 7th acm Workshop Artificial Intelligence and security, AISec 2014, Co-located with the acm conference on Computer and Communication security, CCS 2014

作者： Wang, Xiao Tague, Patrick Carnegie Mellon University United States

ISBN: (纸本)9781450331531

A large-scale sensing infrastructure can collect ample data to benefit many real-world applications. One promising application scenario is building management. However, exposure of the sensor data potentially reveals private details about building users. In this paper, we investigate indoor location privacy as a motivating example to manifest potential privacy risks in smart buildings. We apply inference techniques to reconstruct users' location traces from room-level occupancy data. Unlike other types of surveillance that are dedicated to explicit tracking such as security cameras, time-series occupancy traces, as aggregated environmental measurements, are typically deemed privacy-preserving. Unfortunately, it may still reveal some of the same sensitive information as privacy-invasive sensing such as video surveillance. We conduct experiments using a publicly available dataset and synthetic data. Our results demonstrate the underlying privacy leakage via occupancy data. We further show how our evaluation can enable adaptive privacy mechanisms to control the information leakage by the sensing system. © 2014 by the Association for Computing Machinery, Inc. (acm).

关键词： Time series

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An efficient privacy-preserving system for monitoring mobile users: Making searchable encryption practical 14

An efficient privacy-preserving system for monitoring mobile...

引用

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

作者： Ghinita, Gabriel Rughinis, Razvan University of Massachusetts Boston United States Politehnica University Bucharest Romania

ISBN: (纸本)9781450322782

Monitoring location updates from mobile users has important applications in several areas, ranging from public safety and national security to social networks and advertising. However, sensitive information can be derived from movement patterns, so protecting the privacy of mobile users is a major concern. Users may only be willing to disclose their locations when some condition is met, for instance in proximity of a disaster area, or when an event of interest occurs nearby. Currently, such functionality is achieved using searchable encryption. Such cryptographic primitives provide provable guarantees for privacy, and allow decryption only when the location satisfies some predicate. Nevertheless, they rely on expensive pairing-based cryptography (PBC), and direct application to the domain of location updates leads to impractical solutions. We propose secure and efficient techniques for private processing of location updates that complement the use of PBC and lead to significant gains in performance by reducing the amount of required pairing operations. We also implement two optimizations that further improve performance: materialization of results to expensive mathematical operations, and parallelization. Extensive experimental results show that the proposed techniques significantly improve performance compared to the baseline, and reduce the searchable encryption overhead to a level that is practical in a computing environment with reasonable resources, such as the cloud. Copyright 2014 acm.

关键词： Location

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Is it really you? User identification via adaptive behavior fingerprinting 14

Is it really you? User identification via adaptive behavior ...

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

作者： Giura, Paul Murynets, Ilona Jover, Roger Piqueras Vahlis, Yevgeniy AT and T Security Research Center New York NY United States Bionym Inc. Toronto ON Canada

ISBN: (纸本)9781450322782

The increased popularity of mobile devices widens opportunities for a user either to lose the device or to have the device stolen and compromised. At the same time, user interaction with a mobile device generates a unique set of features such as dialed numbers, timestamps of communication activities, contacted base stations, etc. This work proposes several methods to identify the user based on her communications history. Specifically, the proposed methods detect an abnormality based on the behavior fingerprint generated by a set of features from the network for each user session. We present an implementation of such methods that use features from real SMS, and voice call records from a major tier 1 cellular operator. This can potentially trigger a rapid reaction upon an unauthorized user gaining control of a lost or stolen terminal, preventing data compromise and device misuse. The proposed solution can also detect background malicious traffic originated by, for example, a malicious application running on the mobile device. Our experiments with annonymized data from 10,000 users, representing over 14 million SMS and voice call detail records, show that the proposed methods are scalable and can continuously identify millions of mobile users while preserving data privacy, and achieving low false positives and high misuse detection rates with low storage and computation overhead. Copyright 2014 acm.

关键词： data privacy

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security of graph data: Hashing schemes and definitions 14

Security of graph data: Hashing schemes and definitions

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

作者： Arshad, Muhammad U. Kundu, Ashish Bertino, Elisa Madhavan, Krishna Ghafoor, Arif Purdue University West Lafayette IN United States IBM T J Watson Research Center Yorktown Heights NY United States

ISBN: (纸本)9781450322782

Use of graph-structured data models is on the rise - in graph databases, in representing biological and healthcare data as well as geographical data. In order to secure graph- structured data, and develop cryptographically secure schemes for graph databases, it is essential to formally define and develop suitable collision resistant one-way hashing schemes and show them they are efficient. The widely used Merkle hash technique is not suitable as it is, because graphs may be directed acyclic ones or cyclic ones. In this paper, we are addressing this problem. Our contributions are: (1) define the practical and formal security model of hashing schemes for graphs, (2) define the formal security model of perfectly secure hashing schemes, (3) describe constructions of hashing and perfectly secure hashing of graphs, and (4) performance results for the constructions. Our constructions use graph traversal techniques, and are highly efficient for hashing, redaction, and verification of hashes graphs. We have implemented the proposed schemes, and our performance analysis on both real and synthetic graph data sets support our claims. Copyright 2014 acm.

关键词： Hash functions

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Android system broadcast actions broadcasts your privacy 21

Android system broadcast actions broadcasts your privacy

引用

21st acm conference on Computer and Communications security, CCS 2014

作者： Mohsen, Fadi Shehab, Mohamed Bello-Ogunu, Emmanuel Al Jarrah, Abeer Department of Software and Information Systems University of North Carolina at Charlotte Charlotte United States

ISBN: (纸本)9781450329576

Android provides finer-grained security features through a "permission" mechanism that puts limitations on the re-sources that each application can access. Upon installing a new Android application, a user is prompted to grant it a set of permissions. There are two typical assumptions made regarding permissions and mobile application security and privacy. The first one is that malicious applications need to retain many permissions. Secondly, mobile devices users assume that installed applications do not access data if they are not in the foreground. In this project, we show that malicious Android applications can still fulfill their objectives with minimum permissions and that they can access user data while in the background. This could happen with the help of another Android component, called broadcast receiver. We study the evaluation of Android broadcast actions. We demonstrate an attack scenario made possible by the broadcast receivers. Moreover, we propose solutions to protect from such attacks. Copyright is held by the owner/author(s).

关键词： Android (operating system)

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Streamforce: Outsourcing access control enforcement for stream data to the clouds 14

Streamforce: Outsourcing access control enforcement for stre...

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

作者： Anh, Dinh Tien Tuan Datta, Anwitaman School of Computing National University of Singapore 13 Computing Drive Singapore Singapore School of Computer Engineering Nanyang Technological University 50 Nanyang Avenue Singapore Singapore

ISBN: (纸本)9781450322782

In this paper, we focus on the problem of data privacy on the cloud, particularly on access controls over stream data. The nature of stream data and the complexity of sharing data make access control a more challenging issue than in traditional archival databases. We present Streamforce - a system allowing data owners to securely outsource their data to an untrusted (curious-but-honest) cloud. The owner specifies fine-grained policies which are enforced by the cloud. The latter performs most of the heavy computations, while learning nothing about the data content. To this end, we employ a number of encryption schemes, including deterministic encryption, proxy-based attribute based encryption and sliding-window encryption. In Streamforce, access control policies are modeled as secure continuous queries, which entails minimal changes to existing stream processing engines, and allows for easy expression of a wide-range of policies. In particular, Streamforce comes with a number of secure query operators including Map, Filter, Join and Aggregate. Finally, we implement Streamforce over an open-source stream processing engine (Esper) and evaluate its performance on a cloud platform. The results demonstrate practical performance for many real-world applications, and although the security overhead is visible, Streamforce is highly scalable. Copyright 2014 acm.

关键词： Access control

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