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共 561 条记录，以下是271-280 订阅

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pFilter: Retrofitting Legacy applications for data privacy 19

pFilter: Retrofitting Legacy Applications for Data Privacy

引用

proceedings of the 2019 acm SIGSAC conference on Computer and Communications security

作者： Manish Shukla Kumar Vidhani Gangadhara Sirigireddy Vijayanand Banahatti Sachin Lodha TCS Research Lab Pune India

ISBN: (纸本)9781450367479

Enterprise needs to process customer data for providing tailored services to them, however, the data often includes sensitive and personally identifiable information. This leads to a difficult situation wherein the enterprise has to balance the necessity to process the sensitive data with the requirement to safeguard its privacy. The problem is more prominent in legacy applications with almost no privacy controls in place. A well-studied technique to retrofit legacy application is to mask sensitive content before it is rendered on the screen using path based methods. In this work we show the gap in the existing state of art and describe a dynamic system which utilizes a context to perform locality based searching and masking of sensitive content.

关键词： data privacy legacy application context based masking

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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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Access Control Model for Virtual Objects (Shadows) Communication for AWS Internet of Things 18

Access Control Model for Virtual Objects (Shadows) Communica...

引用

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

作者： Alshehri, Asma Benson, James Patwa, Farhan Sandhu, Ravi Univ Texas San Antonio C SPECC San Antonio TX 78249 USA Univ Texas San Antonio Dept Comp Sci San Antonio TX USA Univ Texas San Antonio San Antonio TX USA

ISBN: (纸本)9781450356329

The concept of Internet of Things (IoT) has received considerable attention and development in recent years. There have been significant studies on access control models for IoT in academia, while companies have already deployed several cloud-enabled IoT platforms. However, there is no consensus on a formal access control model for cloud-enabled IoT. The access-control oriented (ACO) architecture was recently proposed for cloud-enabled IoT, with virtual objects (VOs) and cloud services in the middle layers. Building upon ACO, operational and administrative access control models have been published for virtual object communication in cloud-enabled IoT illustrated by a use case of sensing speeding cars as a running example. In this paper, we study AWS IoT as a major commercial cloud-IoT platform and investigate its suitability for implementing the afore-mentioned academic models of ACO and VO communication control. While AWS IoT has a notion of digital shadows closely analogous to VOs, it lacks explicit capability for VO communication and thereby for VO communication control. Thus there is a significant mismatch between AWS IoT and these academic models. The principal contribution of this paper is to reconcile this mismatch by showing how to use the mechanisms of AWS IoT to effectively implement VO communication models. To this end, we develop an access control model for virtual objects (shadows) communication in AWS IoT called AWS-IoT-acmVO. We develop a proof-of-concept implementation of the speeding cars use case in AWS IoT under guidance of this model, and provide selected performance measurements. We conclude with a discussion of possible alternate implementations of this use case in AWS IoT.

关键词： security Access Control Internet of Things (IoT) AWS IoT IoT Architecture Devices Virtual Objects ACL RBAC ABAC

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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...

引用

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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BlockChain for IoT security and Management: Current Prospects, Challenges and Future Directions 5

BlockChain for IoT Security and Management: Current Prospect...

引用

5th International conference on Networking, Systems and security (NSysS)

作者： Roy, Shanto Ashaduzzaman, Md. Hassan, Mehedi Chowdhury, Arnab Rahman Green Univ Bangladesh Dept Comp Sci & Engn Dhaka 1207 Bangladesh

ISBN: (纸本)9781728113241

The paper presents an in detailed case study of integrating BlockChain (BC) in IoT ecosystems in order to achieve security and privacy. Since the use in cryptocurrency, BlockChain has gained tremendous attraction due to the versatile application prospects it raises. As internet of things (IoT) is emerging towards the smart city requirements, device or data security seems to be a major concern. Therefore, BlockChain based decentralized and distributed system can meet the privacy preserving management in IoT ecosystems. In this paper, we discuss the necessity of utilizing BlockChain for IoT security, privacy, management. We present a literature overview of current progresses and security enhancement in sensor networks using BlockChain;their scope, prospects and limitations as well. Finally, we suggest some future directions to indicate further areas of improvement.

关键词： BlockChain IoT security privacy Authentication

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A Linear Distinguisher and its application for Analyzing privacy-Preserving Transformation Used in Verifiable (Outsourced) Computation 18

A Linear Distinguisher and its Application for Analyzing Pri...

引用

13th acm Asia conference on Information, Computer and Communications security (ASIACCS)

作者： Zhao, Liang Chen, Liqun Sichuan Univ Coll Cybersecur Chengdu Sichuan Peoples R China Univ Surrey Surrey Ctr Cyber Secur Guildford Surrey England

ISBN: (纸本)9781450355766

A distinguisher is employed by an adversary to explore the privacy property of a cryptographic primitive. If a cryptographic primitive is said to be private, there is no distinguisher algorithm that can be used by an adversary to distinguish the encodings generated by this primitive with non-negligible advantage. Recently, two privacy-preserving matrix transformations first proposed by Salinas et al. have been widely used to achieve the matrix-related verifiable (outsourced) computation in data protection. Salinas et al. proved that these transformations are private (in terms of indistinguishability). In this paper, we first propose the concept of a linear distinguisher and two constructions of the linear distinguisher algorithms. Then, we take those two matrix transformations (including Salinas et al.'s original work and Yu et al.'s modification) as example targets and analyze their privacy property when our linear distinguisher algorithms are employed by the adversaries. The results show that those transformations are not private even against passive eavesdropping.

关键词： privacy-preserving verifiable (outsourced) computation privacy analysis Ciphertext-only attack Indistinguishability

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Trust based security Solution for Internet of Things Healthcare Solution: An End-to-End Trustworthy Architecture 18

Trust based Security Solution for Internet of Things Healthc...

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acm International Joint conference on Pervasive and Ubiquitous Computing / acm International Symposium on Wearable Computers (UbiComp/ISWC)

作者： Jaigirdar, Fariha Tasmin Monash Univ Fac Informat Technol Melbourne Vic Australia

ISBN: (纸本)9781450359665

With the vision of building "A Smart World", Internet of Things (IoT) plays a crucial role where users, computing systems and objects with sensing and actuating capabilities cooperate with unparalleled convenience. Among many applications of IoT, healthcare is the most emerging in today's scenario, as new technological advancement creates opportunity for early detection of illnesses, quick decision generation and even aftercare monitoring. Nowadays, it has become a reality for many patients to be monitored remotely, overcoming traditional logistical obstacles. However, these e-health applications increase the concerns of security, privacy, and integrity of medical data. For secured transmission in IoT healthcare, data that has been gathered from sensors in a patient's body area network needs to be sent to the end user and might need to be aggregated, visualized and/or evaluated before being presented. Here, trust is critical. Therefore, an end-to-end trustworthy system architecture can guarantee the reliable transmission of a patient's data and confirms the success of IoT Healthcare application.

关键词： Internet of Things Healthcare Trust

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Biometric data transformation for cryptographic domains and its application: poster 19

Biometric data transformation for cryptographic domains and ...

引用

proceedings of the 12th conference on security and privacy in Wireless and Mobile Networks

作者： Shoukat Ali Koray Karabina Emrah Karagoz Florida Atlantic University

ISBN: (纸本)9781450367264

A large class of biometric template protection algorithms assume that feature vectors are integer valued. However, biometric data is generally represented through real-valued feature vectors. Therefore, secure template constructions are not immediately applicable when feature vectors are composed of real numbers. We propose a generic transformation and extend the domain of biometric template protection algorithms from integer-valued feature vectors to real valued feature vectors. We show that our transformation is accuracy-preserving and verify our theoretical findings by reporting the implementation results using a public keystroke dynamics dataset.

关键词： biometric security

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Session details: privacy 18

Session details: Privacy

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

作者： Amirreza Masoumzadeh University at Albany SUNY

No abstract available.

ISBN: (纸本)9781450356329

No abstract available.

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Session details: Web security 18

Session details: Web Security

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

作者： Luca Allodi Eindhoven University of Technology

No abstract available.

ISBN: (纸本)9781450356329

No abstract available.

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