Certificateless Public Auditing Protocol with Constant

To provide the integrity of outsourced data in the cloud storage services, many public auditing schemes which allow a user to check the integrity of the outsourced data have been proposed. Since most of the schemes are constructed on Public Key Infrastructure (PKI), they suffer from several concerns like management of certificates. To resolve the problems, certificateless public auditing schemes also have been studied in recent years. In this paper, we propose a certificateless public auditing scheme which has the constant-time verification algorithm. Therefore, our scheme is more efficient than previous certificateless public auditing schemes. To prove the security of our certificateless public auditing scheme, we first define three formal security models and prove the security of our scheme under the three security models

Group Based Secure Sharing of Cloud Data with Provable Data Freshness

With cloud computing technology it is realized that data can be outsource and such data can also be shared among users of cloud. However, the data outsourced to cloud might be subjected to integrity problems due to the problems in the underlying hardware or software errors. Human errors also may contribute to the integrity problems. Many techniques came into existence in order to ensure data integrity. Most of the techniques have some sort of auditing. Public auditing schemes meant for data integrity of shared data might disclose confidential information. To overcome this problem, recently, Wang et al. proposed a novel approach that supports public auditing and also do not disclose confidential information. They exploited ring signatures that are used to compute verification metadata on the fly in order to audit the correctness of shared data. The public verifiers do not know the identity of the signer. It does mean that the verifier can verify data without knowing the identity of the signer. However, this scheme does not consider the freshness of data which is very important in cloud services. Obtaining latest copy of data is very important to avoid stale data access in cloud. Towards this end, in this paper, we proposed an algorithm for ensuring freshness of the data while retrieving the outsourced data in multi-user environment. Our empirical results revealed that the proposed algorithm is efficient. DOI: 10.17762/ijritcc2321-8169.15065

Cloud Data Auditing Using Proofs of Retrievability

Cloud servers offer data outsourcing facility to their clients. A client outsources her data without having any copy at her end. Therefore, she needs a guarantee that her data are not modified by the server which may be malicious. Data auditing is performed on the outsourced data to resolve this issue. Moreover, the client may want all her data to be stored untampered. In this chapter, we describe proofs of retrievability (POR) that convince the client about the integrity of all her data.Comment: A version has been published as a book chapter in Guide to Security Assurance for Cloud Computing (Springer International Publishing Switzerland 2015

AN INNOVATIVE PERIODIC RELIABILITY AUTHENTICATION SYSTEM WITHOUT THE LOCAL REPLICA

Outsourced data storage in cloud computing atmosphere needs huge data management and maintenance costs for that cloud servers, due to its growing demands in computing conditions.  In cloud storage servers, the customer system stores their data towards the cloud storage without acquiring a close copy.  The primary issue during this scenario should be to integrity auditing the information for security reasons on voiding data repetitions, due to the untreated huge outsourced data for that cloud servers. This paper will project and solve the issues for example voiding data repetitions and integrity auditing of understanding on cloud data storage, we offer two fundamental secure schemes to overcome the above mentioned pointed out stated issues in strongly related cloud computing atmosphere.  They are ConfCldEnv and ConfCldEnv.  The initial ConfCldEnv, will audit the integrity of clients produced data tags before uploading for the cloud, this course of action include Reduce Map cloud. Due to this plan of action, it heavily cuts lower round the computational costs of clients with the auditing and file uploading process. As well as the second ConfCldEnv  provides the designed request clients by triggers integrity auditing and secure voiding repetitions of understanding, when clients wants to secure their data before uploading data on cloud

DETECTION OF DUPLICATION IN CLOUD

As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+ is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data

PRIVACY AUDITING AND DEDUPLICATING DATA WITH SECCLOUD IN CLOUD COMPUTING

As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+ is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data

Elliptic Curve Cryptography Digital Signature Algorithm For Privacy-Preserving Public Auditing For Shared Data In The Cloud

Cloud computing becomes one of the emerging technology on now a days to share and manage their data in organization , because of its forcefulness, small communication cost and everywhere environment. Privacy preservation concern in the cloud computing becomes arise several security challenges since information stored in the cloud data is easily outsourced anywhere at any time. To manage this privacy preservation in cloud computing several number of the mechanism have been proposed in earlier work to permit both data owners and public verifiers toward proficiently audit cloud information integrity without leakage information from cloud server. But major issue of the existing works becomes these methods is that unavoidably disclose secret data to free verifiers. In order to overcome this problem in this paper presents novel privacy-preserving elliptic curve digital signature cryptography methods data integrity with the purpose to maintain public auditing on shared information stored which is stored in the cloud computing database. In the proposed methods digital signature are created to each data owner in the cloud computing environment and attain data integrity confirmation for shared information between one cloud data owner to third party auditor. In our proposed data integrity Elliptic Curve Cryptography Digital Signature Algorithm, the individuality of the signer on every one chunk in shared information is reserved privately secure manner by creation elliptic curve based private key from public verifiers. Further improve accuracy of the privacy preservation for shared information in the cloud computing proposed ECCDSA perform manifold auditing tasks parallel. The experimentation results of the proposed ECCDSA based multiple data auditing task shows that higher efficiency and higher data integrity while performing auditing task, it can be compared with existing public auditing methods. DOI: 10.17762/ijritcc2321-8169.150313

Efficient Method Based on Blockchain Ensuring Data Integrity Auditing with Deduplication in Cloud

With the rapid development of cloud storage, more and more cloud clients can store and access their data anytime, from anywhere and using any device. Data deduplication may be considered an excellent choice to ensure data storage efficiency. Although cloud technology offers many advantages for storage service, it also introduces security challenges, especially with regards to data integrity, which is one of the most critical elements in any system. A data owner should thus enable data integrity auditing mechanisms. Much research has recently been undertaken to deal with these issues. In this paper, we propose a novel blockchain-based method, which can preserve cloud data integrity checking with data deduplication. In our method, a mediator performs data deduplication on the client side, which permits a reduction in the amount of outsourced data and a decrease in the computation time and the bandwidth used between the enterprise and the cloud service provider. This method supports private and public auditability. Our method also ensures the confidentiality of a client's data against auditors during the auditing process

Fuzzy identity-based data integrity auditing for reliable cloud storage systems

This is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.As a core security issue in reliable cloud storage, data integrity has received much attention. Data auditing protocols enable a verifier to efficiently check the integrity of the outsourced data without downloading the data. A key research challenge associated with existing designs of data auditing protocols is the complexity in key management. In this paper, we seek to address the complex key management challenge in cloud data integrity checking by introducing fuzzy identity-based auditing-the first in such an approach, to the best of our knowledge. More specifically, we present the primitive of fuzzy identity-based data auditing, where a user’s identity can be viewed as a set of descriptive attributes. We formalize the system model and the security model for this new primitive. We then present a concrete construction of fuzzy identity-based auditing protocol by utilizing biometrics as the fuzzy identity. The new protocol offers the property of error-tolerance, namely, it binds private key to one identity which can be used to verify the correctness of a response generated with another identity, if and only if both identities are sufficiently close. We prove the security of our protocol based on the computational Diffie-Hellman assumption and the discrete logarithm assumption in the selective-ID security model. Finally, we develop a prototype implementation of the protocol which demonstrates the practicality of the proposal.This work is supported by the National Natural Science Foundation of China (61501333,61300213,61272436,61472083), the Fundamental Research Funds for the Central Universities under Grant ZYGX2015J05