Towards secure and dependable storage service in cloud
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The document proposes a distributed storage integrity auditing mechanism for cloud data storage that allows for lightweight communication and computation during audits. The proposed design ensures strong correctness guarantees for stored data and enables fast error localization to identify misbehaving servers. It also supports secure and efficient dynamic operations like modifying, deleting, and appending blocks of outsourced data. Analysis shows the scheme is efficient and resilient against various attacks.
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L01246974
This document summarizes a research paper that proposes a secure method for storing data in the cloud using a third party auditor. The key points are:
1) A flexible distributed storage integrity auditing mechanism (FDSIAM) is proposed that utilizes techniques like homomorphic tokens, blocking/unblocking factors, and distributed erasure-coded data to ensure data integrity and availability even when stored on untrusted servers.
2) A third party auditor (TPA) is introduced to reduce the burden on users for auditing the integrity of their cloud data. The TPA can check data integrity without learning the actual data content.
3) The proposed scheme supports secure dynamic operations on cloud data like block modifications while
Providing user security guarantees in public infrastructure clouds
The infrastructure cloud (IaaS) service model offers improved resource flexibility and availability, where tenants – insulated from the minutiae of hardware maintenance – rent computing resources to deploy and operate complex systems. Large-scale services running on IaaS platforms demonstrate the viability of this model; nevertheless, many organizations operating on sensitive data avoid migrating operations to IaaS platforms due to security concerns. In this paper, we describe a framework for data and operation security in IaaS, consisting of protocols for a trusted launch of virtual machines and domain-based storage protection. We continue with an extensive theoretical analysis with proofs about protocol resistance against attacks in the defined threat model. The protocols allow trust to be established by remotely attesting host platform configuration prior to launching guest virtual machines and ensure confidentiality of data in remote storage, with encryption keys maintained outside of the IaaS domain. Presented experimental results demonstrate the validity and efficiency of the proposed protocols. The framework prototype was implemented on a test bed operating a public electronic health record system, showing that the proposed protocols can be integrated into existing cloud environments.
International Journal of Engineering Research and Development (IJERD)
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Toward secure and dependable
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
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Arcot road ,
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Secure Data Storage in Cloud Using Encryption and Steganography
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
J017236366
This document summarizes a research paper on secure data storage in the cloud using encryption and steganography. It proposes a scheme that encrypts files before uploading them to the cloud and decrypts them upon download. It also uses text steganography to insert a watermark into HTML files and image steganography to embed a watermark into image files to uniquely identify the file owner. The paper discusses challenges with secure cloud data storage and outlines the modules of the proposed system, including client, system, cloud data storage, cloud authentication server, and encryption/steganography modules. It also describes threats from unauthorized data modification, adversaries, and system requirements.
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...
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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.orgJAVA 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing for ...
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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.orgPrivacy preserving public auditing for secure cloud storage
This document proposes a system for privacy-preserving public auditing of data stored in the cloud. It allows a third party auditor (TPA) to verify the integrity of cloud data on behalf of users without learning anything about the data. The system utilizes public key homomorphic authenticators and random masking to enable TPA auditing while preserving data privacy. It also supports batch auditing, where the TPA can perform multiple auditing tasks simultaneously in an efficient manner. Analysis shows the proposed schemes are secure and efficient.
Privacy preserving public auditing for secure cloud storage
This document proposes a system for privacy-preserving public auditing of secure cloud storage. It allows a third party auditor (TPA) to verify the integrity of outsourced data in the cloud without learning anything about the data itself. The system utilizes public key based homomorphic authenticators and random masking techniques. It also supports batch auditing, where the TPA can perform multiple auditing tasks simultaneously in an efficient manner. Security analysis shows the proposed schemes are provably secure and efficient. The system architecture incorporates modules for privacy-preserving auditing, batch auditing, and data dynamics operations.
Distributed Scheme to Authenticate Data Storage Security in Cloud Computing
Distributed Scheme to Authenticate Data Storage Security in Cloud ComputingAIRCC Publishing Corporation
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces database and application software to the large data centres, where the management of services and data may not be predictable, where as the conventional solutions, for IT services are under proper logical, physical and personal controls. This aspect attribute, however comprises different security challenges which have not been well understood. It concentrates on cloud data storage security which has always been an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent features. Homomorphic token is used for distributed verification of erasure – coded data. By using this scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centres, where the data management and services may not be absolutely truthful. This effective security and performance analysis describes that the proposed scheme is extremely flexible against malicious data modification, convoluted failures and server clouding attacks.DISTRIBUTED SCHEME TO AUTHENTICATE DATA STORAGE SECURITY IN CLOUD COMPUTING
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces
database and application software to the large data centres, where the management of services and data
may not be predictable, where as the conventional solutions, for IT services are under proper logical,
physical and personal controls. This aspect attribute, however comprises different security challenges
which have not been well understood. It concentrates on cloud data storage security which has always been
an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and
efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent
features. Homomorphic token is used for distributed verification of erasure – coded data. By using this
scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and
secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to
traditional solutions, where the IT services are under proper physical, logical and personnel controls,
cloud computing moves the application software and databases to the large data centres, where the data
management and services may not be absolutely truthful. This effective security and performance analysis
describes that the proposed scheme is extremely flexible against malicious data modification, convoluted
failures and server clouding attacks.
DISTRIBUTED SCHEME TO AUTHENTICATE DATA STORAGE SECURITY IN CLOUD COMPUTING
DISTRIBUTED SCHEME TO AUTHENTICATE DATA STORAGE SECURITY IN CLOUD COMPUTINGAIRCC Publishing Corporation
Cloud Computing is the revolution in current generation IT enterprise. Cloud computing displaces database and application software to the large data centres, where the management of services and data may not be predictable, where as the conventional solutions, for IT services are under proper logical, physical and personal controls. This aspect attribute, however comprises different security challenges which have not been well understood. It concentrates on cloud data storage security which has always been an important aspect of quality of service (QOS). In this paper, we designed and simulated an adaptable and efficient scheme to guarantee the correctness of user data stored in the cloud and also with some prominent features. Homomorphic token is used for distributed verification of erasure – coded data. By using this scheme, we can identify misbehaving servers. In spite of past works, our scheme supports effective and secure dynamic operations on data blocks such as data insertion, deletion and modification. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centres, where the data management and services may not be absolutely truthful. This effective security and performance analysis describes that the proposed scheme is extremely flexible against malicious data modification, convoluted failures and server clouding attacks.Homomorphic authentication with random masking technique ensuring privacy
Shakas Technologies provide IEEE projects, Non-IEEE projects, Final year student projects,Mini projects are available Contact: 9500218218
Iaetsd storage privacy protection against data
This document proposes a privacy-preserving public auditing scheme for data storage in cloud computing. It allows a third party auditor (TPA) to efficiently audit the integrity of outsourced data in the cloud without learning anything about the data contents. The scheme utilizes homomorphic linear authenticators and random masking to guarantee privacy during the auditing process. It also supports batch auditing, allowing the TPA to concurrently audit data from multiple users at once in an efficient manner. The goal is to enable public auditing while maintaining privacy, correctness of stored data, and lightweight computation and communication overhead.
EXPLORING WOMEN SECURITY BY DEDUPLICATION OF DATA
The document proposes a new deduplication system that supports endorsed duplicate check and separates the record structure and substance. It utilizes AES calculation to encrypt information for security. MD5 and sha1 calculations are utilized to recognize duplicate records. The private cloud is outfitted with mystery validation to give more prominent security. The proposed framework separates record structure and substance and underpins endorsed duplicate check to give proficient deduplication while ensuring information security in the cloud.
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IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
An Auditing Protocol for Protected Data Storage in Cloud Computing
Cloud computing is a mechanism which provides us resources, information as per user requirement by the help of internet. Cloud is used to store important content material for a longer period of time which requires trust and safety of content that is stored in cloud. The main issue of cloud computing is security of data. Many techniques proposed earlier were beneficial for static archived data. Some encryption techniques were introduced later for dynamic data which includes masking technique, bilinear property with dynamic auditing. This paper proposed an effective auditing protocol to maintain the dynamic operations on data with RSA, MD5 and ID3 algorithms for enhancing data safety. The analysis and simulation results are effectual and protected as it incurs least communication cost and least computation cost of the auditor.
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This document proposes a continuous auditing approach for cloud services to address security attributes. It discusses using a third-party auditor to continuously audit selected security certification criteria of cloud services to increase trust in certificates over time as the cloud environment changes. The document outlines a system where data owners can delegate auditing to a trusted third party, allowing audits to be done publicly and efficiently while protecting data privacy. It describes desirable properties for such a public auditing system, such as minimizing overhead, protecting data privacy during audits, supporting dynamic data changes, and allowing the third party to efficiently handle multiple concurrent auditing tasks.
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Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
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