Data Storage In Cloud Computing Research Articles

Remote audit for large data-based algebraic signature DCT cloud storage

For large data cloud storage process, in order to improve data storage efficiency, a remote audit method for large data cloud storage based on algebraic signature divide and conquer table (DCT) is proposed. Firstly, an efficient remote audit scheme for cloud computing data storage based on algebraic signature is developed, it can mark the random block by signature, and it has the same data result as the corresponding block signature in the result generation. Secondly, a new divide-and-conquer table (DCT) data structure is designed, which can effectively delete and add dynamic data. It is very important to simplify the computational difficulty of the algorithm and achieve faster calculation. Finally, through the remote data audit operation of real files, and compared with the current more advanced data audit methods, the performance advantages of the algorithm in computation complexity are verified.

Privacy Preserving Technique for Data Storage in Cloud Computing

With the emergence of Cloud computing, the traditional computing process has undergone a sea change. Cloud Computing has been proving to be a boon for IT industries in terms of its ability to provide cost effective, power efficient, extensible and pliable computing. Because of its substantial flexibility, Cloud Computing has become an escalate platform for the services of next generation. But inspite of all the advantages, security and privacy of the data being shared on Cloud remains a cause of concern for the users as well as service providers. This paper proposes a ‘Tortoise technique’ aiming to provide more privacy to user’s data without any kind of security threats from outside. As a part of the technique, reduced data is sent to cloud instead of the original encrypted data. We observed an improvement to an order of 2n in the security of data with the help of the proposed technique.

Efficient and Privacy Preserving Protocol against Insider Attack for Data Storage in Cloud Computing

Efficient and Privacy Preserving Protocol against Insider Attack for Data Storage in Cloud Computing

Analysis and Research on Spatial Data Storage Model Based on Cloud Computing Platform

In this paper, the data processing and storage characteristics of cloud computing are analyzed and studied. On this basis, a cloud computing data storage model based on BP neural network is proposed. In this data storage model, it can carry out the choice of server cluster according to the different attributes of the data, so as to complete the spatial data storage model with load balancing function, and have certain feasibility and application advantages.

Implementation of Dynamic Auditing Protocol for Data Storage in Cloud Computing

Implementation of Dynamic Auditing Protocol for Data Storage in Cloud Computing

Potentials and Challenges of the Health Data Cooperative Model

Introduction: Currently, abundances of highly relevant health data are locked up in data silos due to decentralized storage and data protection laws. The health data cooperative (HDC) model is established to make this valuable data available for societal purposes. The aim of this study is to analyse the HDC model and its potentials and challenges. Results: An HDC is a health data bank. The HDC model has as core principles a cooperative approach, citizen-centredness, not-for-profit structure, data enquiry procedure, worldwide accessibility, cloud computing data storage, open source, and transparency about governance policy. HDC members have access to the HDC platform, which consists of the “core,” the “app store,” and the “big data.” This, respectively, enables the users to collect, store, manage, and share health information, to analyse personal health data, and to conduct big data analytics. Identified potentials of the HDC model are digitization of healthcare information, citizen empowerment, knowledge benefit, patient empowerment, cloud computing data storage, and reduction in healthcare expenses. Nevertheless, there are also challenges linked with this approach, including privacy and data security, citizens’ restraint, disclosure of clinical results, big data, and commercial interest. Limitations and Outlook: The results of this article are not generalizable because multiple studies with a limited number of study participants are included. Therefore, it is recommended to undertake further elaborate research on these topics among larger and various groups of individuals. Additionally, more pilots on the HDC model are required before it can be fully implemented. Moreover, when the HDC model becomes operational, further research on its performances should be undertaken.

Fine-Filtered Attributed Key Based Data Storage in Cloud Computing

Fine-Filtered Attributed Key Based Data Storage in Cloud Computing

Email Based Verification of Data Storage in Cloud Computing

Email Based Verification of Data Storage in Cloud Computing

OPoR: Enabling Proof of Retrievability in Cloud Computing with Resource-Constrained Devices

Cloud computing moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. In this work, we study the problem of ensuring the integrity of data storage in cloud computing. To reduce the computational cost at user side during the integrity verification of their data, the notion of public verifiability has been proposed. However, the challenge is that the computational burden is too huge for the users with resource-constrained devices to compute the public authentication tags of file blocks. To tackle the challenge, we propose OPoR, a new cloud storage scheme involving a cloud storage server and a cloud audit server, where the latter is assumed to be semi-honest. In particular, we consider the task of allowing the cloud audit server, on behalf of the cloud users, to pre-process the data before uploading to the cloud storage server and later verifying the data integrity. OPoR outsources and offloads the heavy computation of the tag generation to the cloud audit server and eliminates the involvement of user in the auditing and in the pre-processing phases. Furthermore, we strengthen the proof of retrievability (PoR) model to support dynamic data operations, as well as ensure security against reset attacks launched by the cloud storage server in the upload phase.

Security of Data Storage in Cloud Computing

the advent of Information Technology in day-to-day activities, the need for online services such as storage space, software, platforms etc. is increasing rapidly. This lead to the rise of a new concept, the Cloud Computing. The Internet users rely heavily on the Cloud Computing for various computing resources. The main motive of the Cloud Providers is to provide these services in a virtualized manner. One of the main concern of cloud computing is the security of the Cloud Storage. When it comes to security of the data stored in the Cloud Storage, it is entirely in the hands of the Cloud Providers. The Cloud Providers assures the consumer of the Cloud that the data stored on their servers is safe. The consumer plays no role in securing the data. The various cloud providers claim that they provide highly secure cloud storage. But there have been attacks on hot-shot cloud providing companies such as Google, Salesforce.com and Dropbox(1). Many cloud providers employee third party companies which has led to consumer losing their trust with these companies. Thus, the encryption techniques and the various security measures employed by the cloud providers should be equally strong. The privacy and security of cloud computing depend primarily on whether the provider has implement adequate and robust security controls as desired by the customer or not. In this paper we analyze the different security issues related to the cloud and different cryptographic algorithms to secure the cloud. Keywordssecurity, storage, cryptography, security issues.

Risk Involved in Cloud Data Storage and its Safety Measures

computing is a technology which will facilitate companies or organisation to host their services without worrying about IT infrastructure and other supporting services. Usually cloud computing services are delivered by a third party - Cloud Service Provider(CSP) provider who owns the infrastructure. Cloud computing offers an innovative business model for organizations to adopt IT services without upfront investment. Despite the potential gains achieved from the cloud computing, the organizations are slow in accepting it due to security issues and challenges associated with it. In this paper we focus on risks involved in data storage in cloud computing and solutions to minimize the risks. KeywordsCloud Service Provider; access control; data Server; Software License Agreement 1. INTRODUCTIONand managing a corporate network is a difficult task when the network grows. The increasing growth increases the need for extra resources. Storage is one such resource which grows high and increases the security issues and challenges associated with it. Most of the owners prefer to invest on larger hard drives while others on external storage devices (Compact Discs, Thump drive etc.). The cloud data storage is the alternate for these storage resources and facilitates with major needs of customer.

An efficient method for checking the integrity of data in the Cloud

Cloud computing and storage services allow clients to move their data center and applications to centralized large data centers and thus avoid the burden of local data storage and maintenance. However, this poses new challenges related to creating secure and reliable data storage over unreliable service providers. In this study, we address the problem of ensuring the integrity of data storage in cloud computing. In particular, we consider methods for reducing the burden of generating a constant amount of metadata at the client side. By exploiting some good attributes of the bilinear group, we can devise a simple and efficient audit service for public verification of untrusted and outsourced storage, which can be important for achieving widespread deployment of cloud computing. Whereas many prior studies on ensuring remote data integrity did not consider the burden of generating verification metadata at the client side, the objective of this study is to resolve this issue. Moreover, our scheme also supports data dynamics and public verifiability. Extensive security and performance analysis shows that the proposed scheme is highly efficient and provably secure.

Provable Data Possession in Cloud Computing

Several trends are opening up the era of cloud computing. It moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. This work studies the problem of ensuring the integrity of data storage in cloud computing. We use RSAs homomorphic property to construct the protocol of provable data possession. In our protocol, we can aggregate multiple Provable Data possession into one, and reduce the overhead of communication. While prior work on ensuring remote data integrity often lacks the specific implementations, this paper achieves an effective proof of storage protocol. Extensive security and performance analysis show that the proposed scheme is highly efficient and provably secure.

Reliability, Security and Privacy of Data Storage in Cloud Computing

In this article, we will present new challenges to the cloud computing, namely reliability, security and privacy. Cloud Computing is often marketed as an efficient and cheap solution that will replace the client-server paradigm. The paradigm shift involves/results in the loss of control over data as well as new security and privacy issues. For this reason caution is advised when deploying and using Cloud Computing in enterprises. With Cloud Computing rapidly gaining popularity, it is important to highlight the resulting risks. In this paper new security and privacy issues will be addressed and potential solutions will be discussed Keywords: Reliability, security, privacy, cloud, computing.

A SECURE DATA FORWARDING SCHEMA FOR CLOUD STORAGE SYSTEMS

Cloud Computing has been envisioned as the next-generation architecture of IT Enterprise. It moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about many new security challenges, which have not been well understood. This work studies the problem of ensuring the integrity of data storage in Cloud Computing. In particular, we consider the task of allowing a threshold proxy re-encryption, on behalf of the cloud client, to verify the integrity of the dynamic data stored in the cloud. The introduction of TPA eliminates the involvement of the client through the auditing of whether his data stored in the cloud are indeed intact, which can be important in achieving economies of scale for Cloud Computing. The distributed storage system not only supports secure and robust data storage and retrieval, but also lets a user forward his data in the storage servers to another user without retrieving the data back, since services in Cloud Computing are not limited to archive or backup data only. While prior works on ensuring remote data integrity often lacks the support of either public Audit ability or dynamic data operations, this paper achieves both. We first identify the difficulties and potential security problems of direct extensions with fully dynamic data updates from prior works and then show how to construct an elegant verification scheme for the seamless integration of these two salient features in our protocol design A decentralized erasure code is an erasure code that independently computes each code word symbol for a message, where TPA can perform multiple auditing tasks simultaneously. Extensive security and performance analysis show that the proposed schemes are highly efficient and provably secure.

Privacy Preserving and Public Auditing Service for Data Storage in Cloud Computing

The cloud computing model represents a new paradigm shift in internet-based services that delivers highly scalable distributed computing platforms in which computational resources are offered 'as a service'. Security is considered one of the top ranked open issues in adopting the cloud computing model includes data Integrity confidentiality. Wang proposed a enabling public audit ability and data dynamics for storage security in cloud computing. They achieved the integrity guarantee of data storage with support of public audit ability and dynamic data operations. However their protocol lacks in providing privacy of data which is one of the issue for the cloud data storage. In this we proposed a privacy preserving public verifiability for integrity of data storage in cloud computing. We are using RSA public cryptography to provide confidentiality of data. Our scheme is more secure than existing system.

Ensuring Availability and Integrity of Data Storage in Cloud Computing

Ensuring Availability and Integrity of Data Storage in Cloud Computing

Data storage auditing service in cloud computing: challenges, methods and opportunities

Cloud computing is a promising computing model that enables convenient and on-demand network access to a shared pool of configurable computing resources. The first offered cloud service is moving data into the cloud: data owners let cloud service providers host their data on cloud servers and data consumers can access the data from the cloud servers. This new paradigm of data storage service also introduces new security challenges, because data owners and data servers have different identities and different business interests. Therefore, an independent auditing service is required to make sure that the data is correctly hosted in the Cloud. In this paper, we investigate this kind of problem and give an extensive survey of storage auditing methods in the literature. First, we give a set of requirements of the auditing protocol for data storage in cloud computing. Then, we introduce some existing auditing schemes and analyze them in terms of security and performance. Finally, some challenging issues are introduced in the design of efficient auditing protocol for data storage in cloud computing.

Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing

Cloud Computing has been envisioned as the next-generation architecture of IT Enterprise. It moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about many new security challenges, which have not been well understood. This work studies the problem of ensuring the integrity of data storage in Cloud Computing. In particular, we consider the task of allowing a third party auditor (TPA), on behalf of the cloud client, to verify the integrity of the dynamic data stored in the cloud. The introduction of TPA eliminates the involvement of the client through the auditing of whether his data stored in the cloud are indeed intact, which can be important in achieving economies of scale for Cloud Computing. The support for data dynamics via the most general forms of data operation, such as block modification, insertion, and deletion, is also a significant step toward practicality, since services in Cloud Computing are not limited to archive or backup data only. While prior works on ensuring remote data integrity often lacks the support of either public auditability or dynamic data operations, this paper achieves both. We first identify the difficulties and potential security problems of direct extensions with fully dynamic data updates from prior works and then show how to construct an elegant verification scheme for the seamless integration of these two salient features in our protocol design. In particular, to achieve efficient data dynamics, we improve the existing proof of storage models by manipulating the classic Merkle Hash Tree construction for block tag authentication. To support efficient handling of multiple auditing tasks, we further explore the technique of bilinear aggregate signature to extend our main result into a multiuser setting, where TPA can perform multiple auditing tasks simultaneously. Extensive security and performance analysis show that the proposed schemes are highly efficient and provably secure.

A RSA-Based Data Integrity Check without Original Data in the Cloud Computing

At present, Cloud computing is becoming a hot topic in the field of research and applications. It moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. However,this unique paradigm brings about many new security challenges, which have not been well understood. As such, it has become crucial for an archive service to be capable of providing evidence to demonstrate the integrity of data stored in it. This work studies the problem of ensuring the integrity of data storage in Cloud Computing.