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Panda: PublicAuditing for Shared Data with Efficient User Revocation in the Cloud

Panda: PublicAuditing for Shared Data with Efficient User Revocation in the Cloud

To protect the integrity of data in the cloud, a number of mechanisms have been proposed. In these mechanisms, a signature is attached to each block in data, and the integrity of data relies on the correctness of all the signatures. One of the most significant and common features of these mechanisms is to allow a public verifier to efficiently check data integrity in the cloud without downloading the entire data, referred to as public auditing (or denoted as Provable Data Possession) This public verifier could be a client who would like to utilize cloud data for particular purposes (e.g., search, computation, data mining, etc.) or a third party auditor (TPA) who is able to provide verification services on data integrity to users. Most of the previous works focus on auditing the integrity of personal data.
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Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud
Aravabumi Divya & Nagala Venkatadri

Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud Aravabumi Divya & Nagala Venkatadri

In this paper, we propose Panda, a novel public auditing mechanism for the integrity of shared data with efficient user revocation in the cloud. In our mechanism, by uti- lizing the idea of proxy re-signatures, once a user in the group is revoked, the cloud is able to resign the blocks, which were signed by the revoked user, with a re-signing key. As a result, the efficiency of user revocation can be significantly improved, and computation and communi- cation resources of existing users can be easily saved. Meanwhile, the cloud, which is not in the same trusted domain with each user, is only able to convert a signa- ture of the revoked user into a signature of an existing user on the same block, but it cannot sign arbitrary blocks on behalf of either the revoked user or an existing user. By designing a new proxy re-signature scheme with nice properties, which traditional proxy resignatures do not have, our mechanism is always able to check the integrity of shared data without retrieving the entire data from the cloud. Moreover, our proposed mechanism is scalable, which indicates it is not only able to efficiently support a large number of users to share data and but also able to handle multiple auditing tasks simultaneously with batch auditing. In addition, by taking advantages of Shamir Se- cret Sharing, we can also extend our mechanism into the multi-proxy model to minimize the chance of the misuse on re-signing keys in the cloud and improve the reliability of the entire mechanism.
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Panda: A Novel Public Auditing Mechanism For the Integrity of Shared Data with Efficient User Revocation in the Cloud
M Mahesh, Mr Syed Mazharuddin & Mrs M Jhansi Lakshmi

Panda: A Novel Public Auditing Mechanism For the Integrity of Shared Data with Efficient User Revocation in the Cloud M Mahesh, Mr Syed Mazharuddin & Mrs M Jhansi Lakshmi

We propose Panda, a novel public auditing mechanism for the integrity of shared data with efficient user revocation in the cloud. In our mechanism, by utilizing the idea of proxy resignatures, once a user in the group is revoked, the cloud is able to resign the blocks, which were signed by the revoked user, with a re-signing key. As a result, the efficiency of user revocation can be significantly improved, and computation and communication resources of existing users can be easily saved. Meanwhile, the cloud, which is not in the same trusted domain with each user, is only able to convert a signature of the revoked user into a signature of an existing user on the same block, but it cannot sign arbitrary blocks on behalf of either the revoked user or an existing user. In addition, a public verifier is always able to audit the integrity of shared data without retrieving the entire data from the cloud, even if some part of shared data has been re-signed by the cloud. Moreover, our mechanism is able to support batch auditing by verifying multiple auditing tasks simultaneously. Experimental results show that our mechanism can significantly improve the efficiency
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Public Auditing for Shared Data with Efficient User Revocation in the Cloud
Kangala Narasimha Rao, N S Vidya Sahithi & S S Madhavi

Public Auditing for Shared Data with Efficient User Revocation in the Cloud Kangala Narasimha Rao, N S Vidya Sahithi & S S Madhavi

Cloud provides services like data storage and data sharing in a group. Users can remotely store their data on cloud and enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources, without the burden of local data storage and maintenance. But the management of the data and servic- es may not be fully trustworthy on cloud, as users no lon- ger have physical possession of the outsourced personal data so data integrity protection becomes a difficult task. Maintaining the integrity of shared data services where data is shared among number of cloud user, is also a chal- lenging task. This paper gives privacy preserving public auditing system for data storage security in cloud comput- ing and for that it uses homomorphic linear authenticator with random masking technique. Homomorphic authenti- cable proxy resignature scheme with Panda public audit- ing mechanism checks shared data integrity along with efficient user revocation. Furthermore, these mechanisms are able to support batch auditing by verifying multiple auditing tasks simultaneously.
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Privacy Preserving Public Auditing For Personal And Shared Data With Efficient User Revocation

Privacy Preserving Public Auditing For Personal And Shared Data With Efficient User Revocation

Abstract - Cloud provides services like data storage and data sharing in a group. Users can remotely store their data on cloud and enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources, without the burden of local data storage and maintenance. But the management of the data and services may not be fully trustworthy on cloud, as users no longer have physical possession of the outsourced personal data so data integrity protection becomes a difficult task. Maintaining the integrity of shared data services where data is shared among number of cloud user, is also a challenging task. This paper gives privacy preserving public auditing system for data storage security in cloud computing and for that it uses homomorphic linear authenticator with random masking technique. Homomorphic authenticable proxy resignature scheme with Panda public auditing mechanism checks shared data integrity along with efficient user revocation. Furthermore, these mechanisms are able to support batch auditing by verifying multiple auditing tasks simultaneously.
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Efficient User Revocation with Public Auditing for Shared Data in the Cloud

Efficient User Revocation with Public Auditing for Shared Data in the Cloud

Based on proxy re-signature scheme, we present panda, a novel public auditing mechanics for shared data with efficient user revocation. In this scheme, a group consist of a number of users, with one user being the manager or owner of the group. He can revoke users from the group whenever necessary. Here cloud acts as a semi-trusted proxy and it translates signatures with re-signing keys. Practically the data and keys are placed on separate servers inside the cloud due to security reasons. So in our mechanism, it is based on the assumption that cloud has two servers, one for storing shared data and other for re-signing keys. This paper is focused on auditing the cloud shared data integrity. Another issue in this mechanism is handling dynamic data during public auditing. In conventional methods we compute the signature of a block based on the block identifier which is the index of a block. But this method is not efficient in terms of dynamic data. More specifically, when a user inserts or deletes a single block, the indices of blocks after this modified block will change, so the user need to re-compute the signature on such blocks, even if the contents of the block are not changed. Using the concepts of index hash tables, it is possible to modify individual blocks even without changing the block identifiers. Each block is attached with a signature, identifier for the block, and a signer identifier. The purpose of the signer identifier is that it allows the verifier to use the signer id to determine which key to use during auditing and the cloud uses it to determine the re-signing key during user revocation.
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Public Integrity Auditing for Shared Dynamic Cloud Data with Group User Revocation

Public Integrity Auditing for Shared Dynamic Cloud Data with Group User Revocation

In 2013 Yong CHENG et al [4] planned a security for customers to store and share their responsive data in the cryptographic cloud storage. It offers a basic encryption and decryption for providing the security and data confidentiality. On the other hand, the cryptographic cloud storage still has some shortcomings in its presentation. Initially, it is incompetent for data owner to allocate the symmetric keys one by one, especially when there are a huge number of files shared online. Secondly, the access policy revocation is much in cost, for the reason that data owner has to recover the data, and re- encrypt and re-publish it. The first difficulty can be resolved by using cipher text-policy attribute-based encryption (CP-ABE) algorithm. To optimize the revocation process, they present a new efficient revocation system. In this system, the original data are first separated into a number of slices, and then published to the cloud storage. When a revocation takes place, the data owner requires only retrieving one slice, and re- encrypting and re-publishing it. Therefore, the revocation
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Open Integrity Auditing for Shared Dynamic Cloud Data with Cluster User Revocation

Open Integrity Auditing for Shared Dynamic Cloud Data with Cluster User Revocation

Cloud storage model contain three entities, namely the cloud storage server, group users and a Third Part Auditor (TPA). Group users consist of a data owner and a number of users who are authorized to access and modify the data by the data owner. The cloud storage server is semi-trusted, who provides data storage services for the group users. TPA could be any entity in the cloud, which will be able to conduct the data integrity of the shared data stored in the cloud server. In our system, the data owner could encrypt and upload its data to the remote cloud storage server. Also, he/she shares the privilege such as access and modify (compile and execute if necessary) to a number of group users. The TPA could efficiently verify the integrity of the data stored in the cloud storage server; even the data is frequently updated by the group users. The data owner is different from the other group users; he/she could securely revoke a group user when a group user is found malicious or the contract of the user is expired.
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Public Auditing for Shared Data With Effective User Revocation in the Cloud Storage

Public Auditing for Shared Data With Effective User Revocation in the Cloud Storage

each user, is only able to convert a signature of the revoked user into a signature of an existing user on the same block, but it cannot sign arbitrary blocks on behalf of either the revoked user or an existing user. By designing a new proxy re-signature scheme with nice properties, which traditional proxy re-signatures do not have, our mechanism is always able to check the integrity of shared data without retrieving the entire data from the cloud. Moreover, our proposed mechanism is scalable, which indicates it is not only able to efficiently support a large number of users to share data and but also able to handle multiple auditing tasks simultaneously with batch auditing. In addition, by taking advantages of Shamir Secret Sharing, we can also extend our mechanism into the multi-proxy model to minimize the chance of the misuse on re- signing keys in the cloud and improve the reliability of the entire mechanism. The overall system architecture is shown in the Fig 1.
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Privacy-Preserving Public Auditingfor Shared data With Efficient User Revocation

Privacy-Preserving Public Auditingfor Shared data With Efficient User Revocation

Integrity Threats : Two kinds of threats related to the integrity of shared data are possible. First, an adversary may try to corrupt the integrity of shared data. Second,the cloud service provider may inadvertently corrupt(or even remove) data in its storage due to hardware failures and human errors. Making matters worse, thecloud service provider is economically motivated, which means it may be reluctant to inform users about such corruption of data in order to save its reputation and avoid losing profits of its services.
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A Survey on Efficient Data Integrity Checking with Group User Revocation in Cloud

A Survey on Efficient Data Integrity Checking with Group User Revocation in Cloud

that emerge in research literature. Recently some researches consider the problem of efficient and secure public data authentication inspection for shared dynamic data. However, these schemes are still not secure against the collusion and leakage of cloud storage server from unauthorized attacker and revoked group users during user revocation in cloud storage system. In this paper, there will be auditing the integrity of shared data with dynamic groups in cloud. A new user can be added into the group and an existing group member can be revoked by preserving privacy including data backup based on vector commitment and verifier-local revocation group signature. This scheme supports the public validation and efficient user revocation and also some nice properties such as traceability, efficiency, confidently, accountability. Finally, the security and experimental analysis show that our scheme is also secure and efficient.
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Cloud Data Sharing With Public Integrity and User Revocation

Cloud Data Sharing With Public Integrity and User Revocation

The overview of the cloud computing makes storage outsourcing become a growing fashion, which promotes the secure remote data auditing a warm subject matter that regarded in the research literature. Recently some research considered the hassle of comfortable and efficient public data integrity auditing for shared dynamic data. However, those schemes are still not relaxed in opposition to the collusion of cloud storage server and revoked organization users all through user revocation in realistic cloud storage device. In this paper, we determine out the collusion attack in the exiting scheme and provide an efficient public integrity auditing scheme with at ease group user cancellation based totally on vector commitment and verifier- nearby revocation organization signature. We design a concrete scheme based at the scheme definition. Our scheme preserving the public checking and efficient user revocation and also a few quality residences, such as confidently, performance, countability and traceability of secure group user revocation. Finally, the security and investigational analysis show that in comparison with its relevant schemes our scheme is likewise comfortable and efficient.
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Secure Evaluation of Public Auditing For Personal and Shared Data with Efficient User Revocation in Cloud Computing
Chinta Mounika & B S N Murty

Secure Evaluation of Public Auditing For Personal and Shared Data with Efficient User Revocation in Cloud Computing Chinta Mounika & B S N Murty

The concept of public audit ability was given by Ateniese et al. [8]. They have described this concept in their defined provable data possession (PDP) model for making sure the ownership of data files on no trustworthy storage and used Rivest Shamir Adleman based homomorphic linear authenticators for auditing of outsourced data. Provable data possession model allows client (who has stored data on un-trusted server) to verify, that the server possesses the original data without retrieving it. PDP model creates probabilistic proofs of possession by sampling random sets of blocks from the server. This significantly mini- mizes I/O costs. The client maintains a constant amount of metadata to verify the proof. The response protocol sends a modest, constant quantity of information, which reduces network communication. Hence, the PDP model for distant information inspection supports large data sets in widely-distributed storage systems. Authors have pre- sented two provably-secure PDP schemes that are more capable than prior solutions, even when compared with schemes that achieve weaker guarantees.
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Public auditing with cloud based group user revocation with data integrity

Public auditing with cloud based group user revocation with data integrity

Boyang Wang, Baochun Li, and Hui Li with data storage and sharing services in the cloud, users can easily modify and share data as a group. To ensure shared data integrity can be verified publicly, users in the group need to compute signatures on all the blocks in shared data. Different blocks in shared data are generally signed by different users due to data modifications performed by different users. For security reasons, once a user is revoked from the group, the blocks which were previously signed by this revoked user must be re-signed by an existing user. The straightforward method, which allows an existing user to download the corresponding part of shared data and re- sign it during user revocation, is inefficient due to the large size of shared data in the cloud. In this paper, we propose a novel public auditing mechanism for the integrity of shared data with efficient user revocation in mind. By utilizing the idea of proxy re-signatures, we allow the cloud to re-sign blocks on behalf of existing users during user revocation, so that existing users do not need to download and re-sign blocks by themselves. In addition, a public verifier is always able to audit the integrity of shared data without retrieving the entire data from the cloud, even if some part of shared data has been re-signed by the cloud. Moreover, our mechanism is able to support batch auditing by verifying multiple auditing tasks simultaneously. Experimental results show that our mechanism can significantly improve the efficiency of user revocation. (Boyang Wang et al., 2015)
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Secured Shared Dynamic Cloud Data with Group User Revocation

Secured Shared Dynamic Cloud Data with Group User Revocation

Wang et al. [10] designed a scheme based on proxy re-signatures. However, the scheme assumed that the private and authenticated channels exist between each pare of entities and there is no collusion among them. Also, the auditing cost of the scheme is linear to the group size. Another attempt to improve the previous scheme and make the scheme efficient, scalable and collusion resistant is Yuan and Yu [12], who designed a dynamic public integrity auditing scheme with group user revocation. The authors designed polynomial authentication tags and adopt proxy tag update techniques in their scheme, which make their scheme support public checking and efficient user revocation.
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Index Terms: public auditing, shared data, and user revocation.

Index Terms: public auditing, shared data, and user revocation.

Panda includes six algorithms: KeyGen, Rekey, Sign, Resign, ProofGen, ProofVerify. In KeyGen, every user in the group generates his/her public key and private key. In Rekey, the cloud computes are-signing key for each pair of users in the group. When the original user creates shared data in the cloud, he/she computes a signature on each block as in Sign. After that, if a user in the group modifies a block in shared data, the signature on the modified block is also computed as in Sign. In Resign, a user is revoked from the group, and the cloud re-signs the blocks. In Proof-Verify, a public verifier is able to check the correctness of a proof responded by the cloud.
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A Novel Approach For Integrity Auditing And Group User Revocation For Shared Dynamic Cloud Data Access

A Novel Approach For Integrity Auditing And Group User Revocation For Shared Dynamic Cloud Data Access

of text, image, audio, video etc. through the program by using encryption algorithm so that it can be stored on cloud. Thus we can secure data on a cloud. Due to this efficiency is increase and data will be secure on the cloud. Recently, some research considers the problem of secure and efficient public data integrity auditing for shared dynamic data. But this scheme is not secure against collusion of cloud storage server. An efficient public integrity auditing with a secured group user revocation based on vector commitment and group user revocation. A distributed key generation algorithm is used to generate authenticated user passwords across multiple servers and eliminate single point failures. This scheme supports the public checking and efficient user revocation and also provides confidentiality, efficiency and traceability of secure group user revocation. A homomorphic encryption algorithm is also used forcreating unique id for the users. In this system, we purpose a novel public verify technique for the integrity of shared data with efficient user revocation in a mind. By applicability idea of proxy re-signatures. It grant the cloud to re-sign blocks on favor of existing users during the revocation, so that existing users do not need to download and re-sign blocks by themselves. In a public verify , it always able to audit the integrity of shared data without the fetching of whole data from the cloud, even if some part of shared data has been re-sign by cloud. This mechanism is able to support batch auditing by verifying multiple auditing task simultaneously. Experimental results shows that our mechanism can significantly improve the efficiency of user revocation.
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Public Integrity Auditing for Shared Dynamic Cloud Data with Group User Revocation

Public Integrity Auditing for Shared Dynamic Cloud Data with Group User Revocation

This section introduces existing related work and describes the dissimilarities and differences from this project work. Although current development and proliferation of cloud computing is rapid, debates and hesitations on the usage of cloud still exist. Data security/privacy is one of the major concerns in the adoption of cloud computing. Compared to conventional systems, users will lose their direct control over their data. In previous approach, there is the problem of integrity verification for big data storage in cloud. This problem can also be called data auditing when the verification is conducted by a trusted third party. From cloud users perspective, it may also be called auditing-as-a-service. Compared to traditional systems, scalability and elasticity are key advantages of cloud As such, efficiency in supporting dynamic data is of great importance. Security and privacy protection on dynamic data has been studied extensively in the past. In this approach, this project will focus on small and frequent data updates, which is important because these updates exist in many cloud applications such as business transactions and online social networks (e.g. twitter). There is a lot of work trying to enhance cloud data security/privacy with technological approaches on CSP side. 2.1.1 Authorized Public Auditing of Dynamic Storage on Cloud with Efficient Variable Fine-Grained Updates with MHT, 2016 The advent of the cloud computing makes storage out sourcing become a rising trend, which promotes the secure remote data auditing a hot topic that appeared in the research literature. Recently some research considers the problem of secure and efficient public data integrity auditing for shared dynamic data.
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A Survey on Public Auditing for Shared Data with Efficient User Revocation in the Cloud

A Survey on Public Auditing for Shared Data with Efficient User Revocation in the Cloud

Cong Wang Proposed Privacy Preserving Public Auditing method [11].In this strategy open evaluating permits TPA alongside client to check the honesty of the outsourced information put away on a cloud and Privacy Preserving permits TPA to do inspecting without asking for information. Here TPA can review the information by keeping up cloud information protection. They have utilized the homomorphism direct authenticator and arbitrary concealing to ensure that the TPA would not realize any information about the information content put away on the cloud server amid the productive inspecting process, which not just wipes out the weight of cloud client from the monotonous and potentially costly examining errand, additionally keep the clients from trepidation of the outsourced information spillage.
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Group User Revocation in Cloud for Shared Data

Group User Revocation in Cloud for Shared Data

Abstract— With the excessive use of internet cloud has received much of the attention. With the help of cloud data can be easily stored on cloud and can be accessed on demand. There are issues concerning the integrity of the data which is stored on the cloud. There are many reasons for the lack of integrity like error may occur due to human errors, hardware failures , malicious users and many more. Recently some research considers the problem of secure and efficient public data integrity auditing for shared dynamic data. As lot of information is shared on the cloud it is difficult to manage this data as well as maintain its privacy. Now days we face lot of security problem in sharing dynamic data among the group users. Thus to make the sharing more secure we include the vector commitment, group signature, and asymmetric group key agreement scheme. In this we clearly present the sharing of data between the multiple group users. We also include some properties like secure group user revocation, efficiency, and count ability.
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