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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541-550 订阅

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CSIIRW09: Fifth Annual Cyber security and Information Intelligence Research Workshop: Cyber security and Information Intelligence Challenges and Strategies

CSIIRW09: Fifth Annual Cyber Security and Information Intell...

引用

CSIIRW 2009: 5th Annual Cyber security and Information Intelligence Research Workshop: Cyber security and Information Intelligence Challenges and Strategies

ISBN: (纸本)9781605585185

The proceedings contain 58 papers. The topics discussed include: security-oriented program transformations;security policy testing via automated program code generation;long term data storage issues for situational awareness;ontology-based security assessment for software products;debugging support for security properties of software architectures;on building secure SCADA systems using security patterns;defending financial infrastructures through early warning systems: the intelligence cloud approach;JigDFS in container communities for international cargo security;automatic image analysis process for the detection of concealed weapons;a distributed reinforcement learning approach to mission survivability in tactical MANETs;detecting overflow vulnerabilities using automated verification;privacy-preserving multi-dimensional credentialing using veiled certificates;and decision dependability and its application to identity management.

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privacy Oracle: a System for Finding application Leaks with Black Box Differential Testing 08

Privacy Oracle: a System for Finding Application Leaks with ...

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15th acm conference on Computer and Communications security

作者： Jung, Jaeyeon Sheth, Anmol Greenstein, Ben Wetherall, David Maganis, Gabriel Kohno, Tadayoshi Intel Res Seattle WA USA

ISBN: (纸本)9781595938107

We describe the design and implementation of privacy Oracle, a system that reports oil application leaks of user information via the network traffic that they send. privacy Oracle treats each application its a black box, without access to either its internal structure or Communication protocols. This means that it call be used over a broad range of applications and information leaks (i.e., not only Web traffic content or credit card numbers). To accomplish this, we develop it differential testing technique in which perturbations in the application inputs are mapped to perturbations in the application Outputs to discover likely leaks;we leverage alignment algorithms from computational biology to find high quality mappings between different byte-sequences efficiently. privacy Oracle includes this technique and it virtual machine-based testing system. To evaluate it, we tested 26 popular applications, including system and file utilities, media players, and IM clients. We found that privacy Oracle discovered many small and previously undisclosed information leaks. In several cases, these are leaks of directly identifying information that are regularly sent in the clear (without end-to-end encryption) and which Could make users vulnerable to tracking by third parties or providers.

关键词： Personal information leaks Black-box testing Sequence alignment algorithm Differential fuzz testing data loss prevention

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Using Hypervisor to Provide data Secrecy for User applications on a Per-Page Basis 08

Using Hypervisor to Provide Data Secrecy for User Applicatio...

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4th International conference on Virtual Execution Environments

作者： Yang, Jisoo Shin, Kang G. Univ Michigan Ann Arbor MI 48109 USA

ISBN: (纸本)9781595937964

Hypervisors are increasingly utilized in modem computer systems, ranging from PCs to web servers and data centers. Aside from server applications, hypervisors are also becoming a popular target for implementing many security systems, since they provide a small and easy-to-secure trusted computing base. This paper presents a novel way of using hypervisors to protect application data privacy even when the underlying operating system is not trustable. Each page in virtual address space is rendered to user applications according to the security context the application is running in. The hypervisor encrypts and decrypts each memory page requested depending on the application's access permission to the page. The main result of this system is the complete removal of the operating system from the trust base for user applications' data privacy. To reduce the runtime overhead of the system, two optimization techniques are employed. We use page-frame replication to reduce the number of cryptographic operations by keeping decrypted versions of a page frame. We also employ lazy synchronization to minimize overhead due to an update to one of the replicated page frame. Our system is implemented and evaluated by modifying the Xen hypervisor, showing that it increases the application execution time only by 3% for CPU and memory-intensive workloads.

关键词： Hypervisor application Protection data privacy Virtualization

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New directions in privacy-preserving anomaly detection for network traffic

New directions in privacy-preserving anomaly detection for n...

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1st acm Workshop on Network data Anonymization, NDA'08, Co-located with the 15th acm Computer and Communications security conference, CCS'08

作者： Bianchi, Giuseppe Teofili, Simone Pomposini, Matteo CNIT Univ. Roma Tor Vergata Via del Politecnico 1 00133 Roma Italy

ISBN: (纸本)9781605583013

The enormous amount of traffic data gathered by network monitoring systems poses a serious threat on the privacy of the network customers. To face this issue, this paper promotes a new approach to privacy-preserving network monitoring. With concrete reference to a simplified anomaly detection scenario, we show how a monitoring application can be decomposed in two parts running in different components. A front-end stage is devised to capture raw (unprotected) packets and process them "on-the-fly" through performance/memory efficient data structures, and specifically Counting Bloom Filters. Captured packets are then cryptographically protected and delivered to a back-end stage along with suitably designed cryptographic material determined by the output of the counting filter. The system is conceived to technically restrict decryption only to data packets which are classified as belonging to a flow for which an anomalous behavior is suspected. The remaining traffic is by construction guaranteed that no further data processing nor, to some extent, statistical analysis may occur in the system backend. Although the anomaly detection application used as operative reference throughout this work is somewhat simplified with respect to real-world approaches, the resulting problem is significantly more complex than traditional pattern searching techniques over encrypted data. Hence, albeit preliminary and with room for improvements, we believe that our proposed approach suggests new promising research directions in privacypreserving network monitoring.

关键词： privacy-preserving techniques

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User-controllable learning of security and privacy policies

User-controllable learning of security and privacy policies

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1st acm Workshop on AISec, AISec'08, Co-located with the 15th acm Computer and Communications security conference, CCS'08

作者： Kelley, Patrick Gage Drielsma, Paul Hankes Sadeh, Norman Cranor, Lorrie Faith School of Computer Science Carnegie Mellon University 5000 Forbes Ave. Pittsburgh PA 15213 United States

ISBN: (纸本)9781605582917

Studies have shown that users have great difficulty specifying their security and privacy policies in a variety of application domains. While machine learning techniques have successfully been used to refine models of user preferences, such as in recommender systems, they are generally configured as "black boxes" that take control over the entire policy and severely restrict the ways in which the user can manipulate it. This article presents an alternative approach, referred to as user-controllable policy learning. It involves the incremental manipulation of policies in a context where system and user refine a common policy model. The user regularly provides feedback on decisions made based on the current policy. This feedback is used to identify (learn) incremental policy improvements which are presented as suggestions to the user. The user, in turn, can review these suggestions and decide which, if any, to accept. The incremental nature of the suggestions enhances usability, and because the user and the system manipulate a common policy representation, the user retains control and can still make policy modifications by hand. Results obtained using a neighborhood search implementation of this approach are presented in the context of data derived from the deployment of a friend finder application, where users can share their locations with others, subject to privacy policies they refine over time. We present results showing policy accuracy, which averages 60% upon initial definition by our users, climbing as high as 90% using our technique. Copyright 2008 acm.

关键词： Feedback

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Design of Network Management Platform and security Framework for WSN

Design of Network Management Platform and Security Framework...

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4th International conference on Signal Image Technology and Internet Bases Systems

作者： Lee, Byunggil Bae, Seungjo Han, Dongwon Elect & Telecommun Res Inst Taejon South Korea

ISBN: (纸本)9780769534930

Wireless sensor networks are rapidly emerging as an important area in ubiquitous computing industry. They are very tiny devices with limited energy, memory, transmission range, and computation power. So, wireless sensor networks are vulnerable to security attack such as sinkhole attack, wormhole attack, and simple power exhaustion attack. However, wireless sensor networks must be secured from obstructing the delivery of correct sensor data and from forging sensor data. The security and privacy problem related to wireless sensor network's application has become a serious issue in the real service environment. In this paper, we propose our management platform and security framework for wireless sensor networks. The proposed framework has advantages as regards secure association and intrusion detection. Furthermore, the proposed mechanism can be applied to ubiquitous application such as u-city, u-healthcare, u-defense as a secure wireless sensor network management platform.

关键词： Wireless sensor networks

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privacy-Preserving Remote Diagnostics

Privacy-Preserving Remote Diagnostics

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14th acm conference on Computer and Communication security

作者： Brickell, Justin Porter, Donald E. Shmatikov, Vitaly Witchel, Emmett Univ Texas Austin Austin TX 78712 USA

ISBN: (纸本)9781595937032

We present an efficient protocol for privacy-preserving evaluation of diagnostic programs, represented as binary decision trees or branching programs. The protocol applies a branching diagnostic program with classification labels in the leaves to the user's attribute vector. The user learns only the label assigned by the program to his vector;the diagnostic program itself remains secret. The program's owner does not learn anything. Our construction is significantly more efficient than those obtained by direct application of generic secure multi-party computation techniques. We use our protocol to implement a privacy-preserving version of the Clarify system for software fault diagnosis, and demonstrate that its performance is acceptable for many practical scenarios.

关键词： privacy data Mining Diagnostics Branching Programs

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Adding user-level SPACe: security, privacy, and context to intelligent multimedia information architectures

Adding user-level SPACe: Security, privacy, and context to i...

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IEEE/WIC/acm International conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006)

作者： Jutla, Dawn N. Kanevsky, Dimitri Sobey School of Business Saint Mary's University NS Canada Human Language Technologies T.J. Watson Research Centre IBM NY United States

ISBN: (纸本)9780769527499

We provide a unified architecture, called SPACe, for Secure, privacy-Aware, and Contextual multimedia systems in organizations. Many key and important architectural components already exist which contribute to a unified platform, including the classic data mining, security, and privacy-preserving components in conventional intelligent systems. After presenting an overview of our unified architecture, we focus on the state-of-the-art architectural components for user interaction in future systems - particularly multimedia voice interaction with intelligent systems. This paper shows how user-level conversational data mining (CDM) methods, coupled with biometric security, and enhanced with privacy-awareness, may be used with any Web information system architecture. Finally, we provide an example of our unified architecture through integrating a knowledge architecture for an e-finance application in the financial services domain. The resulting architectures benefit from added security, privacy-awareness, and contextual filtering at the user-level.

关键词： data privacy

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A privacy-preserving interdomain audit framework

A privacy-preserving interdomain audit framework

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5th acm Workshop on privacy in Electronic Society, WPES 2006, Co-located with the 13th acm conference on Computer and Communications security, CCS 2006

作者： Lee, Adam J. Tabriz, Parisa Borisov, Nikita University of Illinois at Urbana-Champaign Urbana IL 61801 United States

ISBN: (纸本)1595935568

Recent trends in Internet computing have led to the popularization of many forms of virtual organizations. Examples include supply chain management, grid computing, and collaborative research environments like PlanetLab. Unfortunately, when it comes to the security analysis of these systems, the whole is certainly greater than the sum of its parts. That is, local intrusion detection and audit practices are insufficient for detecting distributed attacks such as coordinated network reconnaissance, stepping-stone attacks, and violations of application-level trust constraints between security domains. A distributed process that coordinates information from each member could detect these types of violations, but privacy concerns between member organizations or safety concerns about centralizing sensitive information often restrict this level of information flow. In this paper, we propose a privacy-preserving framework for distributed audit that allows member organizations to detect distributed attacks without requiring the release of excessive private information. We discuss both the architecture and mechanisms used in our approach and comment on the performance of a prototype implementation. © 2006 acm.

关键词： data obfuscation

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Visualization for privacy compliance

Visualization for privacy compliance

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3rd International Workshop on Visualization for Computer security, VizSEC'06. Co-located with the 13th acm conference on Computer and Communications security, CCS'06

作者： Yee, George National Research Council Canada Building M-50 1200 Montreal Road Ottawa Ont. K1A 0R6 Canada

ISBN: (纸本)1595935495

The growth of the Internet has been accompanied by the growth of e-services (e.g. e-commerce, e-health). This proliferation of e-services has put large quantities of consumer private information in the hands of the service providers, who in many cases have mishandled the information, either intentionally or unintentionally, to the detriment of consumer privacy. As a result, government bodies have put in place privacy legislation that spells out a consumer's privacy rights and how consumer private information is to be handled. Providers are required to comply with such privacy legislation. This paper proposes visualization as a tool that can be used by security or privacy analysts to understand how private information flows within and between provider organizations, as a way of identifying vulnerabilities that can lead to non-compliance. A model of private information flow and a graphical notation for visualizing this flow are proposed. An application example of using the notation to identify privacy vulnerabilities is given. Copyright 2006 Government of Canada.

关键词： data privacy

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