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Secure, Consistent, and High-Performance Memory Snapshotting 18

Secure, Consistent, and High-Performance Memory Snapshotting

引用

8th acm conference on data and application security and privacy (CODASPY)

作者： Cox, Guilherme Yan, Zi Bhattacharjee, Abhishek Ganapathy, Vinod Rutgers State Univ Piscataway NJ 08854 USA Indian Inst Sci Bangalore Karnataka India

ISBN: (纸本)9781450356329

Many security and forensic analyses rely on the ability to fetch memory snapshots from a target machine. To date, the security community has relied on virtualization, external hardware or trusted hardware to obtain such snapshots. these techniques either sacrifice snapshot consistency or degrade the performance of applications executing atop the target. We present SnipSnap, a new snapshot acquisition system based on on-package DRAM technologies that offers snapshot consistency without excessively hurting the performance of the target's applications. We realize SnipSnap and evaluate its benefits using careful hardware emulation and software simulation, and report our results.

关键词： Cloud security forensics hardware security malware and unwanted software

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SPEED: Secure Provable Erasure for Class-1 IoT Devices 18

SPEED: Secure Provable Erasure for Class-1 IoT Devices

引用

8th acm conference on data and application security and privacy (CODASPY)

作者： Ammar, Mahmoud Daniels, Wilfried Crispo, Bruno Hughes, Danny Katholieke Univ Leuven Imec DistriNet Leuven Belgium Univ Trento Trento Italy

ISBN: (纸本)9781450356329

the Internet of things (IoT) consists of embedded devices that sense and manage our environment in a growing range of applications. Large-scale IoT systems such as smart cities require significant investment in both equipment and personnel. To maximize return on investment, IoT platforms should support multiple third-party applications and adaptation of infrastructure over time. Realizing the vision of shared IoT platforms demands strong security guarantees. that is particularly challenging considering the limited capability and resource constraints of many IoT devices. In this paper, we present SPEED, an approach to secure erasure with verifiability in IoT. Secure erasure is a fundamental property when it comes to share an IoT platform with other users which guarantees the cleanness of a device's memory at the beginning of the application deployment as well as at the time of releasing the underlying IoT device. SPEED relies on two security primitives: memory isolation and distance bounding protocol. We evaluate the performance of SPEED by implementing it on a simple bare-metal IoT device belongs to Class-1. Our evaluation results show a limited overhead in terms of memory footprint, time, and energy consumption.

关键词： secure erasure iot security memory isolation distance bounding

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Hyperagents: Migrating Host Agents to the Hypervisor 18

Hyperagents: Migrating Host Agents to the Hypervisor

引用

8th acm conference on data and application security and privacy (CODASPY)

作者： Bushouse, Micah Reeves, Douglas North Carolina State Univ Dept Comp Sci Raleigh NC 27695 USA

ISBN: (纸本)9781450356329

third-party software daemons called host agents are increasingly responsible for a modern host's security, automation, and monitoring tasks. Because of their location within the host, these agents are at risk of manipulation by malware and users. Additionally, in virtualized environments where multiple adjacent guests each run their own set of agents, the cumulative resources that agents consume adds up rapidly. Consolidating agents onto the hypervisor can address these problems, but places a technical burden on agent developers. this work presents a development methodology to re-engineer a host agent in to a hyperagent, an out-of-guest agent that gains unique hypervisor-based advantages while retaining its original inguest capabilities. this three-phase methodology makes integrating Virtual Machine Introspection (VMI) functionality in to existing code easier and more accessible, minimizing an agent developer's re-engineering effort. the benefits of hyperagents are illustrated by porting the GRR live forensics agent, which retains 89% of its codebase, uses 40% less memory than its in-guest counterparts, and enables a 4.9x speedup for a representative data-intensive workload. this work shows that a conventional off-the-shelf host agent can be feasibly transformed into a hyperagent and provide a powerful, efficient tool for defending virtualized systems.

关键词： Cloud security virtual machine introspection computer forensics

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GUILeak: Tracing privacy Policy Claims on User Input data for Android applications 18

GUILeak: Tracing Privacy Policy Claims on User Input Data fo...

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40th acm/IEEE International conference on Software Engineering (ICSE)

作者： Wang, Xiaoyin Qin, Xue Hosseini, Mitra Bokaei Slavin, Rocky Breaux, Travis D. Niu, Jianwei Univ Texas San Antonio San Antonio TX 78249 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA

ISBN: (纸本)9781450356381

the Android mobile platform supports billions of devices across more than 190 countries around the world. this popularity coupled with user data collection by Android apps has made privacy protection a well-known challenge in the Android ecosystem. In practice, app producers provide privacy policies disclosing what information is collected and processed by the app. However, it is difficult to trace such claims to the corresponding app code to verify whether the implementation is consistent with the policy. Existing approaches for privacy policy alignment focus on information directly accessed through the Android platform (e.g., location and device ID), but are unable to handle user input, a major source of private information. In this paper, we propose a novel approach that automatically detects privacy leaks of user-entered data for a given Android app and determines whether such leakage may violate the app's privacy policy claims. For evaluation, we applied our approach to 120 popular apps from three privacy-relevant app categories: finance, health, and dating. the results show that our approach was able to detect 21 strong violations and 18 weak violations from the studied apps.

关键词： Mobile privacy policy Android application User input

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Emergency analysis based on affective computing in universities forum 5th

Emergency analysis based on affective computing in universit...

引用

5th International conference on Artificial Intelligence and security, ICAIS 2019

作者： Zhang, Lu Wu, Xu Xie, Xiaqing Xu, Jin Zhang, Tianle Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing100876 China School of Cyberspace Security BUPT Beijing100876 China Beijing University of Posts and Telecommunications Library Beijing100876 China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou510006 China

ISBN: (纸本)9783030242701

Emergency analysis for social networking sites have gained increased attention. In order to detect emergencies in University Forums, we present an emergency analysis method based on affective computing. the method detects the emergency and calculates the scores in real-time based on affective computing and the University Public Opinion Ontology (UPO_Ontology) established manually. the method is evaluated on two test datasets. the results show that the UPO_Ontology and affective computing greatly improved the accuracy, recall and F-measure. the method proposed in this paper meets the requirement of real-time detection. What's more, It gain of 1.24% in F-measure over the "event-specific detection" proposed by Laylavi et al. and outperforms emergency detect using contextual semantics by nearly 7.1% in F-measure. the analysis of the emergencies in University Forums will help Universities deal with emergencies more effectively and provide students with better service. © Springer Nature Switzerland AG 2019.

关键词： Semantics

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CoRuM: Collaborative Runtime Monitor Framework for application security 11

CoRuM: Collaborative Runtime Monitor Framework for Applicati...

引用

11th IEEE/acm International conference on Utility and Cloud Computing (UCC-Companion) / 5th IEEE/acm International conference on Big data Computing, applications and Technologies (BDCAT)

作者： Das, Saikat Shiva, Sajjan Univ Memphis Dept Comp Sci Memphis TN 38152 USA

ISBN: (纸本)9781728103594

We propose a framework based on Collaborative Runtime Monitors (CoRuM) for application-level security. CoRuM detects the abnormal behavior of an application by observing critical characteristics during program runtime. In this paper, we discuss the application's critical and essential characteristics to be monitored, the components of the framework, and its workflow on different use case scenarios. We provide experimental results on typical cyber-attacks and provide the throughput and detection accuracy measures. We also propose multidimensional preventive measures using honeypot and backup servers.

关键词： CoRuM Collaborative Intrusion Detection System Intrusion Detection System Runtime Verification Runtime Monitor

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Building Trustable Remote Monitoring and Management Systems 11

Building Trustable Remote Monitoring and Management Systems

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11th IEEE/acm International conference on Utility and Cloud Computing (UCC-Companion) / 5th IEEE/acm International conference on Big data Computing, applications and Technologies (BDCAT)

作者： Morshedi, Maghsoud Noll, Josef Kari, Raheleh Univ Oslo Oslo Norway EyeNetworks Oslo Norway Norwegian Univ Sci & Technol Alesund Norway

ISBN: (纸本)9781728103594

Internet of things (IoT) is an emerging technology that expands wireless and mobile networks into heterogeneous network of connected devices. Trustable remote monitoring and management systems are required to establish a controlled environment for new services and devices in order to (i) improve the quality of existing services and (ii) enable novel services. However, monitoring and remote management can cause security and privacy concerns and thus affect the trust formation between customer and service provider. this paper introduces a trust model considering institutions as mediators to assess trustability of remote monitoring and management systems. the proposed model considers governance as an approach to audit remote monitoring and management systems and accordingly provides institutional assurance in form of certificate or labels in order to facilitate trust decision making and motivate trustworthy behaviors. the proposed model utilized the multi-metric method to measure governance criteria objectively and represent level of trustworthiness with A-F labels. Representing governance criteria with labels accompanied by color coding facilitates trust decision making based on application context or requirements for everyone regardless of level of expertise. Meanwhile, issuing trustworthiness certificate or A-F labels will encourage service providers to improve trustability of their remote monitoring and management approaches, which improve acceptability and efficiency of managed services.

关键词： trust cloud computing remote monitoring and management IoT wireless networks privacy security

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Cross-App Tracking via Nearby Bluetooth Low Energy Devices 18

Cross-App Tracking via Nearby Bluetooth Low Energy Devices

引用

8th acm conference on data and application security and privacy (CODASPY)

作者： Korolova, Aleksandra Sharma, Vinod Univ Southern Calif Los Angeles CA 90007 USA

ISBN: (纸本)9781450356329

Today an increasing number of consumer devices such as head phones, wearables, light bulbs and even baseball bats, are Bluetooth-enabled thanks to the widespread support of the technology by phone manufacturers and mobile operating system vendors. the ability for any device to seamlessly connect and exchange information with smartphones via Bluetooth Low Energy (BLE) protocol promises unlimited room for innovation. However, it also brings about new privacy challenges. We show that the BLE protocol together with the Bluetooth permission model implemented in the Android and iOS operating systems can be used for cross-app tracking unbeknownst to the individuals. Specifically, through experiments and analyses based on real-world smartphone data we show that by listening to advertising packets broadcasted by nearby BLE-enabled devices and recording information contained in them, app developers can derive fairly unique "fingerprints" for their users, which can be used for cross-app tracking, i.e., linking pseudonymous users of different apps to each other. We demonstrate that privacy protections put in place by the Bluetooth Special Interest Group, Google, and Apple are not sufficient to prevent such fingerprinting or to make cross-app tracking difficult to execute. Our main contribution is to demonstrate the feasibility of crossapp tracking using nearby BLE and raise awareness that changes are needed in order to prevent it from becoming widespread. We also propose mitigation strategies to decrease the feasibility of tracking using nearby BLE devices while preserving the utility of the BLE technology.

关键词： privacy bluetooth tracking

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SGX Enforcement of Use-Based privacy 17

SGX Enforcement of Use-Based Privacy

引用

17th acm Workshop on privacy in the Electronic Society (WPES)

作者： Birrell, Eleanor Gjerdrum, Anders van Renesse, Robbert Johansen, Havard Johansen, Dag Schneider, Fred B. Pomona Coll Claremont CA 91711 USA UIT Arctic Univ Norway Tromso Norway Cornell Univ Ithaca NY USA

ISBN: (纸本)9781450359894

Use-based privacy restricts how information may be used, making it well-suited for data collection and data analysis applications in networked information systems. this work investigates the feasibility of enforcing use-based privacy in distributed systems with adversarial service providers. three architectures that use Intel-SGX are explored: source-based monitoring, delegated monitoring, and inline monitoring. Trade-offs are explored between deployability, performance, and privacy. Source-based monitoring imposes no burden on application developers and supports legacy applications, but 35-62% latency overhead was observed for simple applications. Delegated monitoring offers the best performance against malicious adversaries, whereas inline monitoring provides performance improvements (0-14% latency overhead compared to a baseline application) in an attenuated threat model. these results provide evidence that use-based privacy might be feasible in distributed systems with active adversaries, but the appropriate architecture will depend on the type of application.

关键词： Use-based privacy privacy enforcement SGX

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SCLib: A Practical and Lightweight Defense against Component Hijacking in Android applications 18

SCLib: A Practical and Lightweight Defense against Component...

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8th acm conference on data and application security and privacy (CODASPY)

作者： Wu, Daoyuan Cheng, Yao Gao, Debin Li, Yingjiu Deng, Robert H. Singapore Management Univ Sch Informat Syst Singapore Singapore ASTAR Inst Infocomm Res Singapore Singapore Singapore Management Univ Singapore Singapore

ISBN: (纸本)9781450356329

Cross-app collaboration via inter-component communication is a fundamental mechanism on Android. Although it brings the benefits such as functionality reuse and data sharing, a threat called component hijacking is also introduced. By hijacking a vulnerable component in victim apps, an attack app can escalate its privilege for operations originally prohibited. Many prior studies have been performed to understand and mitigate this issue, but no defense is being deployed in the wild, largely due to the deployment difficulties and performance concerns. In this paper we present SCLib, a secure component library that performs in-app mandatory access control on behalf of app components. It does not require firmware modification or app repackaging as in previous works. the library-based nature also makes SCLib more accessible to app developers, and enables them produce secure components in the first place over fragmented Android devices. As a proof of concept, we design six mandatory policies and overcome unique implementation challenges to mitigate attacks originated from both system weaknesses and common developer mistakes. Our evaluation using ten high-profile open source apps shows that SCLib can protect their 35 risky components with negligible code footprint (less than 0.3% stub code) and nearly no slowdown to normal intra-app communication. the worst-case performance overhead is only about 5%.

关键词： android security mobile security component hijacking

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