749 research outputs found

    Handling Confidential Data on the Untrusted Cloud: An Agent-based Approach

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    Cloud computing allows shared computer and storage facilities to be used by a multitude of clients. While cloud management is centralized, the information resides in the cloud and information sharing can be implemented via off-the-shelf techniques for multiuser databases. Users, however, are very diffident for not having full control over their sensitive data. Untrusted database-as-a-server techniques are neither readily extendable to the cloud environment nor easily understandable by non-technical users. To solve this problem, we present an approach where agents share reserved data in a secure manner by the use of simple grant-and-revoke permissions on shared data.Comment: 7 pages, 9 figures, Cloud Computing 201

    d'Artagnan: a trusted NoSQL database on untrusted clouds

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    Privacy sensitive applications that store confidential information such as personal identifiable data or medical records have strict security concerns. These concerns hinder the adoption of the cloud. With cloud providers under the constant threat of malicious attacks, a single successful breach is sufficient to exploit any valuable information and disclose sensitive data. Existing privacy-aware databases mitigate some of these concerns, but sill leak critical information that can potently compromise the entire system's security. This paper proposes d'Artagnan, the first privacy-aware multi-cloud NoSQL database framework that renders database leaks worthless. The framework stores data as encrypted secrets in multiple clouds such that i) a single data breach cannot break the database's confidentiality and ii) queries are processed on the server-side without leaking any sensitive information. d'Artagnan is evaluated with industry-standard benchmark on market-leading cloud providers.This work is financed by National Funds through thePortuguese funding agency, FCT - FundaĆ§Ć£o para a CiĆŖncia ea Tecnologia within project: UID/EEA/50014/2019. This workis financed by National Funds through the Portuguese fundingagency, FCT - FundaĆ§Ć£o para a CiĆŖncia e a Tecnologia withthe grant: SFRH/BD/142704/201

    Scattered Simulteneous and Autonomous Access to Encrypted Database

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    Put the important data on cloud i.e Cloud provider Storage, It should giving the guarantee of security without loss of data while data in use or not in use. Much of the option are available for providing storage services. We decelop an best architecture which integrates data over the cloud and execute multiple operation simultaneously on Encrypted cloud. We are connecting multiple client those are physically distributed. An another advantage we are eliminating the proxies for best performance .the architecture based on theoretical basis. We are providing the prototype to the different client & Network delay. DOI: 10.17762/ijritcc2321-8169.15070
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