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检索条件"任意字段=Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy"

共 560 条记录，以下是121-130 订阅

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Session details: Session 6: Authentication and Device security 22

Session details: Session 6: Authentication and Device Securi...

引用

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

作者： Sudip Mittal Mississippi State University

No abstract available.

ISBN: (纸本)9781450392204

No abstract available.

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Session details: Session 1: Machine Learning and security 22

Session details: Session 1: Machine Learning and Security

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

作者： Ram Krishnan University of Texas at San Antonio

No abstract available.

ISBN: (纸本)9781450392204

No abstract available.

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Is there a security Mindset and Can it be Taught? 21

Is there a Security Mindset and Can it be Taught?

引用

11th acm conference on data and application security and privacy (CODASPY)

作者： Siraj, Ambareen Sridhar, Nigamanth Hamilton, John A. Drew, Jr. Khan, Latifur Kaza, Siddharth Gupta, Maanak Mittal, Sudip Tennessee Technol Univ Cookeville TN 38505 USA Cleveland State Univ Cleveland OH 44115 USA Mississippi State Univ Mississippi State MS 39762 USA Univ Texas Dallas Richardson TX 75083 USA Towson Univ Towson MD USA Univ North Carolina Wilmington Wilmington NC USA

The field of cybersecurity is becoming very dynamic, and needs continuous evolution. This requires not only the formal and informal education, but a security mindset to be developed for our future workforce. This pane... 详细信息

ISBN: (纸本)9781450381437

关键词： Cybersecurity

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Programming Support for Local-First Software Enabling the Design of privacy-Preserving Distributed Software without Relying on the Cloud 26

Programming Support for Local-First Software Enabling the De...

引用

acm SIGPLAN International conference on Systems, Programming, Languages, and applications: Software for Humanity (SPLASH Companion)

作者： Haas, Julian Tech Univ Darmstadt Darmstadt Germany

ISBN: (纸本)9781450399012

Local-first software manages and processes private data locally while still enabling collaboration between multiple parties connected via partially unreliable networks. Such software typically involves interactions with users and the execution environment (the outside world). The decentralized nature of local-first software paired with the unpredictability of interactions driven from the outside world impede reasoning about their correctness. Yet, existing solutions to develop local-first software do not provide safety guarantees and instead expect developers to reason about concurrent interactions in an environment with unreliable network conditions. This is too much to ask of application developers, who are usually not experts in designing distributed systems. This work seeks to develop a programming model which facilitates the construction of local-first software and eradicates certain classes of safety and security problems by design. We do so by providing a dedicated local-first programming language and an accompanying automated verification procedure that can be integrated as part of the compilation process.

关键词： local-first reactive programming

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Don't fool yourself with Forward privacy, Your queries STILL belong to us! 21

Don't fool yourself with Forward Privacy, Your queries STILL...

引用

11th acm conference on data and application security and privacy (CODASPY)

作者： Salmani, Khosro Barker, Ken Mt Royal Univ Calgary AB Canada Univ Calgary Calgary AB Canada

ISBN: (纸本)9781450381437

Dynamic Searchable Symmetric Encryption (DSSE) enables a user to perform encrypted search queries on encrypted data stored on a server. Recently, a notion of Forward privacy (FP) was introduced to guarantee that a newly added document cannot be linked to previous queries, and to thwart relative attacks and lessen information leakage and its consequences. However, in this paper we show that the forward-private schemes have no advantage (in preventing the related attacks) compared to traditional approaches, and previous attacks are still applicable on FP schemes. In FP approaches, access pattern leakage is still possible and can be employed to uncover the search pattern which can be used by passive and adaptive attacks. To address this issue, we construct a new parallelizable DSSE approach to obfuscate the access and search pattern. Our cost-efficient scheme supports both updates and searches. Our security proof and performance analysis demonstrate the practicality, efficiency, and security of our approach.

关键词： data privacy Cloud security Dynamic SSE Access and search pattern leakage

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Differentially Private Iterative Screening Rules for Linear Regression 25

Differentially Private Iterative Screening Rules for Linear ...

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

作者： Amol Khanna Fred Lu Edward Raff Booz Allen Hamilton Boston MA USA Booz Allen Hamilton Los Angeles CA USA and University of Maryland Baltimore County Baltimore MD USA Booz Allen Hamilton Syracuse NY USA and University of Maryland Baltimore County Baltimore MD USA

ISBN: (纸本)9798400714764

Linear L1-regularized models have remained one of the simplest and most effective tools in data science. Over the past decade, screening rules have risen in popularity as a way to eliminate features when producing the sparse regression weights of L1 models. However, despite the increasing need of privacy-preserving models for data analysis, to the best of our knowledge, no differentially private screening rule exists. In this paper, we develop the first private screening rule for linear regression. We initially find that this screening rule is too strong: it screens too many coefficients as a result of the private screening step. However, a weakened implementation of private screening reduces overscreening and improves performance.

关键词： differential privacy

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Two-Client Inner-Product Functional Encryption with an application to Money-Laundering Detection 22

Two-Client Inner-Product Functional Encryption with an Appli...

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28th acm SIGSAC conference on Computer and Communications security (CCS)

作者： de Perthuis, Paola Pointcheval, David Cosmian Paris France CNRS INRIA ENS PSL CosmianDIENS Paris France

ISBN: (纸本)9781450394505

In this paper, we extend Inner-Product Functional Encryption (IPFE), where there is just a vector in the key and a vector in the single sender's ciphertext, to two-client ciphertexts. More precisely, in our two-client functional encryption scheme, there are two data Providers who can independently encrypt vectors alpha and y for a data consumer who can, from a functional decryption key associated to a vector alpha, compute Sigma alpha(i)x(i)y(i) = x. center dot Diag(alpha) center dot y(inverted perpendicular). Ciphertexts are linear in the dimension of the vectors, whereas the functional decryption keys are of constant size. We study two interesting particular cases: 2-party Inner-Product Functional Encryption, with alpha = (1,..., 1). There is a unique functional decryption key, which enables the computation of x center dot y(inverted perpendicular) by a third party, where.. and.. are provided by two independent clients;Inner-Product Functional Encryption with a Selector, with x = x(0)parallel to x(1) and y = (b) over bar (n)parallel to b(n) is an element of {1(n)parallel to 0(n),0(n)parallel to 1(n)}}, for some bit b, on the public coefficients alpha = alpha(0)parallel to alpha(1), in the functional decryption key, so that one gets x(b) center dot alpha(inverted perpendicular)(b), where x and b are provided by two independent clients. This result is based on the fundamental Product-Preserving Lemma, which is of independent interest. It exploits Dual Pairing Vector Spaces (DPVS), with security proofs under the SXDH assumption. We provide two practical applications to medical diagnosis for the latter IPFE with a selector, and to money-laundering detection for the former 2-party IPFE, both with strong privacy properties, adaptative security and the use of labels granting a Multi-Client Functional Encryption (MCFE) security for the scheme, thus enabling its use in practical situations.

关键词： functional encryption inner-product private evaluation

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Evaluating Website data Leaks through Spam Collection on Honeypots 25

Evaluating Website Data Leaks through Spam Collection on Hon...

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

作者： Oghenerukevwe Elohor Oyinloye Carol Fung Concordia Institute for Information Systems and Engineering Concordia University Montreal Quebec Canada

ISBN: (纸本)9798400714764

Nowadays, people rely heavily on online services in their daily lives such as communication, education, shopping, and entertainment. While online services offer convenience in daily living, users often receive a large number of spams as a result. While previous studies have linked spam receipt primarily to user behavior, this research proposes that spam can serve as a forensic indicator of data leaks by websites. To test our hypothesis, we conducted an experiment to deploy 148 honeypots across 370 websites spanning 12 communities. We monitored and audited the spams received by our honeypots for 47 weeks and analyzed their nature, pattern and origin. The results reveal that some legitimate websites leak user data despite having privacy policy statements. The findings also highlight that some websites automatically enroll users in newsletters or mailing lists without asking consent during the sign-up. This issue arises from conflating privacy policies with spam subscription and third party share agreements. To address these issues we suggest that regulators enforce websites to separate subscription agreement from privacy policy statements, and direct consent for third party share be requested at sign up. Also, websites should evaluate third party chain to ensure user data protection.

关键词： data privacy

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A Large Publicly Available Corpus of Website privacy Policies Based on DMOZ 21

A Large Publicly Available Corpus of Website Privacy Policie...

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11th acm conference on data and application security and privacy (CODASPY)

作者： Zaeem, Razieh Nokhbeh Barber, K. Suzanne Univ Texas Austin Ctr Ident Austin TX 78712 USA

ISBN: (纸本)9781450381437

Studies have shown website privacy policies are too long and hard to comprehend for their target audience. These studies and a more recent body of research that utilizes machine learning and natural language processing to automatically summarize privacy policies greatly benefit, if not rely on, corpora of privacy policies collected from the web. While there have been smaller annotated corpora of web privacy policies made public, we are not aware of any large publicly available corpus. We use DMOZ, a massive open-content directory of the web, and its manually categorized 1.5 million websites, to collect hundreds of thousands of privacy policies associated with their categories, enabling research on privacy policies across different categories/market sectors. We review the statistics of this corpus and make it available for research. We also obtain valuable insights about privacy policies, e.g., which websites post them less often. Our corpus of web privacy policies is a valuable tool at the researchers' disposal to investigate privacy policies. For example, it facilitates comparison among different methods of privacy policy summarization by providing a benchmark, and can be used in unsupervised machine learning to summarize privacy policies.

关键词： datasets privacy policies DMOZ corpus

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2022 4th Blockchain and Internet of Things conference, BIOTC 2022

2022 4th Blockchain and Internet of Things Conference, BIOTC...

引用

4th Blockchain and Internet of Things conference, BIOTC 2022

ISBN: (纸本)9781450396622

The proceedings contain 18 papers. The topics discussed include: distributed random number generation method on smart contracts;loan chain: a blockchain-based framework for smart credit lending;blockchain-based security governance framework of agricultural product traceability data;research progress and trend prospect of blockchain technology application in logistics and supply chain information system under pandemic-hit;a blockchain-based electricity retail contracts management system;computational experimental evaluation of the time variance of cryptocurrency mining using cryptographic hash functions;optimization of student physical health data cycle under computer blockchain technology;design and implementation of electronic medical record system based on Hyperledger fabric;trusted blockchain-based data fingerprinting differential-traceability and SkipList indexing methods in privacy protection;and a blockchain-enabled location privacy-preserving under local differential privacy for internet of vehicles.

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