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Old, new, borrowed, blue - A perspective on the evolution of mobile platform security architectures 11

Old, new, borrowed, blue - A perspective on the evolution of...

引用

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

作者： Kostiainen, Kari Reshetova, Elena Ekberg, Jan-Erik Asokan, N. Nokia Research Center Finland

ISBN: (纸本)9781450304665

The recent dramatic increase in the popularity of "smartphones" has led to increased interest in smartphone security research. From the perspective of a security researcher the noteworthy attributes of a modern smartphone are the ability to install new applications, possibility to access Internet and presence of private or sensitive information such as messages or location. These attributes are also present in a large class of more traditional "feature phones." Mobile platform security architectures in these types of devices have seen a much larger scale of deployment compared to platform security architectures designed for PC platforms. In this paper we start by describing the business, regulatory and end-user requirements which paved the way for this widespread deployment of mobile platform security architectures. We briey describe typical hardware-based security mechanisms that provide the foundation for mobile platform security. We then describe and compare the currently most prominent open mobile platform security architectures and conclude that many features introduced recently are borrowed, or adapted with a twist, from older platform security architectures. Finally, we identify a number of open problems in designing effective mobile platform security. Copyright 2011 acm.

关键词： Smartphones

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privacy-preserving activity scheduling on mobile devices 11

Privacy-preserving activity scheduling on mobile devices

引用

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

作者： Bilogrevic, Igor Jadliwala, Murtuza Hubaux, Jean-Pierre Aad, Imad Niemi, Valtteri EPFL CH-1015 Lausanne Switzerland Nokia Research Center CH-1015 Lausanne Switzerland

ISBN: (纸本)9781450304665

Progress in mobile wireless technology has resulted in the increased use of mobile devices to store and manage users' personal schedules. Users also access popular context-based services, typically provided by third-party providers, by using these devices for social networking, dating and activity-partner searching applications. Very often, these applications need to determine common availabilities among a set of user schedules. The privacy of the scheduling operation is paramount to the success of such applications, as often users do not want to share their personal schedules with other users or third-parties. Previous research has resulted in solutions that provide privacy guarantees, but they are either too complex or do not fit well in the popular user-provider operational model. In this paper, we propose practical and privacy-preserving solutions to the server-based scheduling problem. Our novel algorithms take advantage of the homomorphic properties of well-known cryptosystems in order to privately compute common user availabilities. We also formally outline the privacy requirements in such scheduling applications and we implement our solutions on real mobile devices. The experimental measurements and analytical results show that the proposed solutions not only satisfy the privacy properties but also fare better, in regard to computation and communication efficiency, compared to other well-known solutions. Copyright 2011 acm.

关键词： Cryptography

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LeakProber: A framework for profiling sensitive data leakage paths 11

LeakProber: A framework for profiling sensitive data leakage...

引用

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

作者： Yu, Junfeng Zhang, Shengzhi Liu, Peng Li, ZhiTang College of Computer Science and Technology Huazhong University of Science and Technology Wuhan China College of Information Sciences and Technology Pennsylvania State University University Park United States

ISBN: (纸本)9781450304665

In this paper, we present the design, implementation, and evaluation of LeakProber, a framework that leverages the whole system dynamic instrumentation and the inter-procedural analysis to enable data propagation path profiling in production system. We integrate both the static analysis and runtime tracking to establish a holistic and practical approach to generating the sensitive data propagation graph (sDPG) with minimum runtime overhead. We evaluate our system on several data stealing attacks scenario for generating sDPG. The sDPG generated by our system captures multiple aspects of data accessing patterns and provides clear insights into the data leakage path. We also measure the performance of our system and find that it degrades the production system about 6% in the trace-on mode. When our prototype works in the trace-off mode, the runtime overhead is even lower, on an average of 1.5% across each benchmark we run. We believe that it is feasible to directly apply our prototype into production system environment. Copyright 2011 acm.

关键词： data flow analysis

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Crowdroid: Behavior-based malware detection system for android

Crowdroid: Behavior-based malware detection system for andro...

引用

1st acm Workshop on security and privacy in Smartphones and Mobile Devices, SPSM'11, Held in Association with the 18th acm conference on Computer and Communications security, CCS 2011

作者： Burguera, Iker Zurutuza, Urko Nadjm-Tehrani, Simin Electronics and Computing Department Mondragon University 20500 Mondragon Spain Dept. of Computer and Information Science Linköping University SE-581 83 Linköping Sweden

ISBN: (纸本)9781450310000

The sharp increase in the number of smartphones on the market, with the Android platform posed to becoming a market leader makes the need for malware analysis on this platform an urgent issue. In this paper we capitalize on earlier approaches for dynamic analysis of application behavior as a means for detecting malware in the Android platform. The detector is embedded in a overall framework for collection of traces from an unlimited number of real users based on crowdsourcing. Our framework has been demonstrated by analyzing the data collected in the central server using two types of data sets: those from artificial malware created for test purposes, and those from real malware found in the wild. The method is shown to be an effective means of isolating the malware and alerting the users of a downloaded malware. This shows the potential for avoiding the spreading of a detected malware to a larger community. © 2011 acm.

关键词： data mining

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Non-interactive editable signatures for assured data provenance 11

Non-interactive editable signatures for assured data provena...

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

作者： Qian, Haifeng Xu, Shouhuai Department of Computer Science East China Normal University China Department of Computer Science University of Texas San Antonio United States

ISBN: (纸本)9781450304665

In order to make people truly benefit from data sharing, we need technical solutions to assuring the trustworthiness of data received from parties one may not have encountered in the past. Assured data provenance is an important means for this purpose because it (i) allows data providers to get credited for their contribution or sharing of data, (ii) is able to hold the data providers accountable for the data they contributed, and (iii) enables the data providers to supply high-quality data in a self-healing fashion. While the above (i) and (ii) have been investigated to some extent, the above (iii) is a new perspective that, to our knowledge, has not been investigated in the literature. In this paper, we introduce a novel cryptographic technique that can simultaneously offer these properties. Our technique is called editable signatures, which allow a user, Bob, to edit (e.g., replace, modify, and insert) some portions of the message that is contributed and signed by Alice such that the resulting edited message is jointly signed by Alice and Bob in some fashion. While it is easy to see that the above (i) and (ii) are achieved, the above (iii) is also achieved because Bob may have a better knowledge of the situation that allows him to provide more accurate/trustworthy information than Alice, who may intentionally or unintentionally enter inaccurate or even misleading data into an information network. This is useful because Alice's inaccurate or even misleading information will never be released into an information network if it can be "cleaned" or "healed" by Bob. Specifically, we propose two novel cryptographic constructions that can be used to realize the above functions in some practical settings. Copyright 2011 acm.

关键词： Cryptography

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The optimization of situational awareness for insider threat detection 11

The optimization of situational awareness for insider threat...

引用

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

作者： Brancik, Kenneth Ghinita, Gabriel Northrop Grumman Corporation 7575 Colshire Drive McLean VA 22102 United States Purdue University W. Lafayette IN 47907 United States

ISBN: (纸本)9781450304665

In recent years, organizations ranging from defense and other government institutions to commercial enterprises, research labs, etc., have witnessed an increasing amount of sophisticated insider attacks that manage to bypass existing security controls. Insider threats are staged by either disgruntled employees, or employees engaged in malicious activities such as industrial espionage. The objectives of such threats range from sabotage, e.g., in order to disrupt the completion of a project, to exfiltration of sensitive data such as trade secrets, patents, etc. Insiders are often skilled and motivated individuals with good knowledge of internal security measures in the organization. They devise effective and carefully planned attacks, prepared over long periods of time and customized to inflict maximum damage. Such attacks are difficult to detect and protect against, because insiders have the proper credentials to access services and systems within the organization, and possess knowledge that may allow them to deceive network defense controls. As a result, a large number of hosts may be taken over, allowing malicious insiders to maintain control over the network even after leaving the organization. The objective of this study is to identify a high-level architecture and mechanisms for early detection and protection against insider threats. One of the main aspects we focus on is preventing data exfiltration, which is known to cost billions of dollars in losses annually. The goal is to either (i) detect attacks as they occur and prevent insiders from gaining control over the network, or (ii) detect early hosts and services that are compromised such that malware is prevented from spreading/morphing, hence insiders are no longer able to control the network or to exfiltrate sensitive data. We envision a data-intensive approach that leverages large amounts of events collected from a diverse set of sources such as network sensors, intrusion detection systems, service logs, a

关键词： Sensitive data

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Analyzing inter-application communication in Android 11

Analyzing inter-application communication in Android

引用

proceedings of the 9th international conference on Mobile systems, applications, and services

作者： Chin, Erika Felt, Adrienne Porter Greenwood, Kate Wagner, David University of California Berkeley Berkeley CA United States

ISBN: (纸本)9781450306430

Modern smartphone operating systems support the development of third-party applications with open system APIs. In addition to an open API, the Android operating system also provides a rich inter-application message passing system. This encourages inter-application collaboration and reduces developer burden by facilitating component reuse. Unfortunately, message passing is also an application attack surface. The content of messages can be sniffed, modified, stolen, or replaced, which can compromise user privacy. Also, a malicious application can inject forged or otherwise malicious messages, which can lead to breaches of user data and violate application security policies. We examine Android application interaction and identify security risks in application components. We provide a tool, ComDroid, that detects application communication vulnerabilities. ComDroid can be used by developers to analyze their own applications before release, by application reviewers to analyze applications in the Android Market, and by end users. We analyzed 20 applications with the help of ComDroid and found 34 exploitable vulnerabilities;12 of the 20 applications have at least one vulnerability. © 2011 acm.

关键词： Message passing

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Panel: research agenda for data and application security 11

Panel: research agenda for data and application security

引用

proceedings of the first acm conference on data and application security and privacy

作者： X. Sean Wang National Science Foundation Arlington VA USA

No abstract available.

ISBN: (纸本)9781450304665

No abstract available.