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Permission re-delegation: Attacks and defenses
- In 20th Usenix Security Symposium
, 2011
"... Modern browsers and smartphone operating systems treat applications as mutually untrusting, potentially malicious principals. Applications are (1) isolated except for explicit IPC or inter-application communication channels and (2) unprivileged by default, requiring user permission for additional pr ..."
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Cited by 6 (0 self)
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Modern browsers and smartphone operating systems treat applications as mutually untrusting, potentially malicious principals. Applications are (1) isolated except for explicit IPC or inter-application communication channels and (2) unprivileged by default, requiring user permission for additional privileges. Although inter-application communication supports useful collaboration, it also introduces the risk of permission redelegation. Permission re-delegation occurs when an application with permissions performs a privileged task for an application without permissions. This undermines the requirement that the user approve each application’s access to privileged devices and data. We discuss permission re-delegation and demonstrate its risk by launching real-world attacks on Android system applications; several of the vulnerabilities have been confirmed as bugs. We discuss possible ways to address permission redelegation and present IPC Inspection, a new OS mechanism for defending against permission re-delegation. IPC Inspection prevents opportunities for permission redelegation by reducing an application’s permissions after it receives communication from a less privileged application. We have implemented IPC Inspection for a browser and Android, and we show that it prevents the attacks we found in the Android system applications. 1
Revisiting Storage for Smartphones
"... Conventional wisdom holds that storage is not a big contributor to application performance on mobile devices. Flash storage (the type most commonly used today) draws little power, and its performance is thought to exceed that of the network subsystem. In this paper we present evidence that storage p ..."
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Cited by 5 (0 self)
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Conventional wisdom holds that storage is not a big contributor to application performance on mobile devices. Flash storage (the type most commonly used today) draws little power, and its performance is thought to exceed that of the network subsystem. In this paper we present evidence that storage performance does indeed affect the performance of several common applications such as web browsing, Maps, application install, email, and Facebook. For several Android smartphones, we find that just by varying the underlying flash storage, performance over WiFi can typically vary between 100 % to 300 % across applications; in one extreme scenario the variation jumped to over 2000%. We identify the reasons for the strong correlation between storage and application performance to be a combination of poor flash device performance, random I/O from application databases, and heavy-handed use of synchronous writes; based on our findings we implement and evaluate a set of pilot solutions to address the storage performance deficiencies in smartphones. 1
AdDroid: Privilege Separation for Applications and Advertisers in Android
"... Advertising is a critical part of the Android ecosystem— many applications use one or more advertising services as a source of revenue. To use these services, developers must bundle third-party, binary-only libraries into their applications. In this model, applications and their advertising librarie ..."
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Advertising is a critical part of the Android ecosystem— many applications use one or more advertising services as a source of revenue. To use these services, developers must bundle third-party, binary-only libraries into their applications. In this model, applications and their advertising libraries share permissions. Advertising-supported applications must request multiple privacy-sensitive permissions on behalf of their advertising libraries, and advertising libraries receive access to all of their host applications ’ other permissions. We conducted a study of the Android Market and found that 49 % of Android applications contain at least one advertising library, and these libraries overprivilege 46% of advertising-supported applications. Further, we find that 56 % of the applications with advertisements that request location (34 % of all applications) do so only because of advertisements. Such pervasive overprivileging is a threat to user privacy. We introduce AdDroid, a privilege separated advertising framework for the Android platform. AdDroid introduces a new advertising API and corresponding advertising permissions for the Android platform. This enables AdDroid to separate privileged advertising functionality from host applications, allowing applications to show advertisements without requesting privacy-sensitive permissions. 1.
Detecting Repackaged Smartphone Applications in Third-Party Android Marketplaces
"... Recent years have witnessed incredible popularity and adoption of smartphones and mobile devices, which is accompanied by large amount and wide variety of feature-rich smartphone applications. These smartphone applications (or apps), typically organized in different application marketplaces, can be ..."
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Cited by 1 (0 self)
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Recent years have witnessed incredible popularity and adoption of smartphones and mobile devices, which is accompanied by large amount and wide variety of feature-rich smartphone applications. These smartphone applications (or apps), typically organized in different application marketplaces, can be conveniently browsed by mobile users and then simply clicked to install on a variety of mobile devices. In practice, besides the official marketplaces from platform vendors (e.g., Google and Apple), a number of third-party alternative marketplaces have also been created to host thousands of apps (e.g., to meet regional or localization needs). To maintain and foster a hygienic smartphone app ecosystem, there is a need for each third-party marketplace to offer quality apps to mobile users. In this paper, we perform a systematic study on six popular Android-based third-party marketplaces. Among them, we find
Towards a Universal Data Provenance Framework using Dynamic Instrumentation
"... The advantage of collecting data provenance information has driven research on how to extend or modify applications and systems in order to provide it, or the creation of architectures that are built from the ground up with provenance capabilities. In this paper we propose a universal data provenanc ..."
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The advantage of collecting data provenance information has driven research on how to extend or modify applications and systems in order to provide it, or the creation of architectures that are built from the ground up with provenance capabilities. In this paper we propose a universal data provenance framework, using dynamic instrumentation, which gathers data provenance information for real-world applications without any code modifications. Our framework simplifies the task of finding the right points to instrument, which can be cumbersome in large and complex systems. We have built a proof-of-concept implementation of the framework on top of DTrace. Moreover, we evaluated its functionality by using it for three different scenarios: file-system operations, database transactions and web browser HTTP requests. Based on our experiences we believe that it is possible to provide data provenance, transparently, to any layer of the software stack. 1
Modeling and Enhancing Android’s Permission System
"... Abstract. Several works have recently shown that Android’s security architecture cannot prevent many undesired behaviors that compromise the integrity of applications and the privacy of their data. This paper makes two main contributions to the body of research on Android security: first, it develop ..."
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Abstract. Several works have recently shown that Android’s security architecture cannot prevent many undesired behaviors that compromise the integrity of applications and the privacy of their data. This paper makes two main contributions to the body of research on Android security: first, it develops a formal framework for analyzing Android-style security mechanisms; and, second, it describes the design and implementation of Sorbet, an enforcement system that enables developers to use permissions to specify secrecy and integrity policies. Our formal framework is composed of an abstract model with several specific instantiations. The model enables us to formally define some desired security properties, which we can prove hold on Sorbet but not on Android. We implement Sorbet on top of Android 2.3.7, test it on a Nexus S phone, and demonstrate its usefulness through a case study. 1
User Interface Toolkit Mechanisms for Securing Interface Elements
"... User interface toolkit research has traditionally assumed that developers have full control of an interface. This assumption is challenged by the mashup nature of many modern interfaces, in which different portions of a single interface are implemented by multiple, potentially mutually distrusting d ..."
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User interface toolkit research has traditionally assumed that developers have full control of an interface. This assumption is challenged by the mashup nature of many modern interfaces, in which different portions of a single interface are implemented by multiple, potentially mutually distrusting developers (e.g., an Android application embedding a third-party advertisement). We propose considering security as a primary goal for user interface toolkits. We motivate the need for security at this level by examining today’s mashup scenarios, in which security and interface flexibility are not simultaneously achieved. We describe a security-aware user interface toolkit architecture that secures interface elements while providing developers with the flexibility and expressivity traditionally desired in a user interface toolkit. By challenging trust assumptions inherent in existing approaches, this architecture effectively addresses important interface-level security concerns. ACM Classification: H.5.2 [Information interfaces and

