collusion-tolerable privacy-preserving sum and product calculation without secure channel pdf

Collusion-tolerable Privacy-preserving Sum And Product Calculation Without Secure Channel Pdf

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Collusion-Tolerable Privacy-Preserving Sum and Product Calculation without Secure Channel

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Jung and X. Li and M. Jung , X.

Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Collusion-Tolerable Privacy-Preserving Sum and Product Calculation without Secure Channel Abstract: Much research has been conducted to securely outsource multiple parties' data aggregation to an untrusted aggregator without disclosing each individual's privately owned data, or to enable multiple parties to jointly aggregate their data while preserving privacy. However, those works either require secure pair-wise communication channels or suffer from high complexity. In this paper, we consider how an external aggregator or multiple parties can learn some algebraic statistics e. We assume all channels are subject to eavesdropping attacks, and all the communications throughout the aggregation are open to others.

Privacy-Preserving Selective Aggregation of Online User Behavior Data

In this paper, we propose differentially private protocols for Naive Bayes classification over distributed data. Compared with existing works, the privacy and security models in the proposed protocols are stronger: firstly, both the miner and parties can be arbitrarily malicious and can collude with each other to violate the remaining honest parties privacy; secondly, all communication channels between them can be assumed to be insecure. Specifically, we build a guarantee of differential privacy into the cryptographic construction so that the proposed protocols can tolerate collusions and resist eavesdropping attacks which are caused by insecure communication channels. Additionally, the proposed protocols can be implemented at lower computation and communication costs, and some extensions to our protocols e. Both theoretical analysis and simulation results show that the proposed privacy-preserving protocols for Naive Bayes have strong security and better classification performance than the standard one. Unable to display preview. Download preview PDF.

View 19 Download 5 Category Engineering. Click to see full reader. I, 'l! I'II; i: L. I'lI: n. However,those works either require secure pair-wise communication channels or suffer from high complexity. In this paper,we consider how an extemal aggregator or multiple parties can learn some algebraic statistics e.

Collusion-Tolerable and E cient Privacy-Preserving Time ...· Privacy-Preserving Time-Series Data

Many miraculous ideas have been proposed to deal withthe privacy-preserving time-series data aggregation problem in perva-sive computing applications, such as mobile cloud computing. The mainchallenge consists in computing the global statistics of individual inputsthat are protected by some confidentiality mechanism. However, thoseworks either suffer from collusive attack or require a time-consuming ini-tialization at every aggregation request.

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Collusion-Tolerable Privacy-Preserving Sum and Product Calculation without Secure Channel-IEEE...

A Collusion-Resistant and Privacy-Preserving Data Aggregation Protocol in Crowdsensing System

Экран погас. ГЛАВА 39 Росио Ева Гранада стояла перед зеркалом в ванной номера 301, скинув с себя одежду. Наступил момент, которого она с ужасом ждала весь этот день.

Ничего не понимают в системах безопасности. Присяга, которую Чатрукьян принимал, поступая на службу в АНБ, стала непроизвольно прокручиваться в его голове. Он поклялся применять все свои знания, весь опыт, всю интуицию для защиты компьютеров агентства, стоивших не один миллион долларов.


aggregation. Collusion-. tolerable. No neighborhood. communication. Setup o​nce participants, while the secure channels are established based preserving sum calculation is CDH-secure in Gif any Proba- Collusion-​Tolerable Privacy-Preserving Sum and Product Calculation without Secure Channel.


Солнце уже зашло. Над головой автоматически зажглись лампы дневного света. Сьюзан нервничала: прошло уже слишком много времени.

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Ее плечи подрагивали. Она закрыла лицо руками.

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5 Comments

  1. Hollie H.

    Collusion-Tolerable Privacy-Preserving Sum and Product Calculation without Secure Channel · Figures, Tables, and Topics from this paper · Figures and Tables.

    11.04.2021 at 10:16 Reply
  2. Fani F.

    Collusion-Tolerable Privacy-Preserving Sum and Product Calculation without Secure Channel. Abstract: Much research has been conducted to.

    14.04.2021 at 08:27 Reply
  3. Laercio A.

    To browse Academia.

    15.04.2021 at 16:33 Reply
  4. Louise R.

    With the pervasiveness and increasing capability of smart devices, mobile crowdsensing has been applied in more and more practical scenarios and provides a more convenient solution with low costs for existing problems.

    17.04.2021 at 06:38 Reply
  5. Thierry D.

    Collusion-Tolerable Privacy-Preserving Sum and Product Calculation without Secure Channel. Taeho Jung, Xiang-Yang Li, Senior Member.

    18.04.2021 at 04:05 Reply

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