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

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

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

Resign: Here we assume that the cloud converts the signature of a revoked user into signature of the original user, which is the group manager. An alternate strategy to determine the re-signing key is to ask the user to make a priority list (PL) based on the order of re-signing priority. Cloud substitutes the signature of the revoked user with the first user in the PL.

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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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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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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

a public verifier to efficiently check data integrity in the cloud without downloading the entire data, referred toas public auditing (or denoted as Provable Data Pos-session). 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 verificationservices on data integrity to users. Most of the previous works focus on au- diting the integrity of personal data. Different from these works, several recent works focus on how to preserve identity privacy from public verifiers when auditing the integrity of shared data. Unfortunately, none of the above mechanisms, considers the efficiency of user revocation when auditing the correctness of shared data in the cloud. With shared data, once a user modifies a block, she also needs to compute a new signature for the modifiedblock. Due to the modifications from different users, dif-ferent blocks are signed by different users. For security reasons, when a user leaves the group or misbehaves, this user must be revoked from the group. As a result, this revoked user should no longer be able to access and modify shared data, and the signatures generated by this revoked user are no longer valid to the group. Therefore, although the con- tent of shared data is not changed during user revocation, the blocks, which were previously signed by the revoked user, still need to be re-signed by an existing user in the group.
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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

This proposed protocol is based on bilinear pairing tech- nique and through security analysis and performance analysis author has proved that the protocol is provable secure and efficient.B. Li et al [2] has proposed a privacy preserving mechanism that supports public auditing on shared data stored in the cloud. He has used ring signature to compute verification metadata and identity of signer is kept private from public verifier, who are able to effi- ciently verify shared data integrity without retrieving the entire file. Additionally this mechanism is able to perform multiple auditing tasks simultaneously instead of verify- ing them one by one and experimental results demonstrate the effectiveness and efficiency of this mechanism when auditing shared data integrity.B. Wang et al [1] proposed public auditing mechanism for shared data using homo- morphic authenticator and efficient user revocation in cloud. Here semi trusted cloud re-signs the blocks which were signed by revoked user, using proxy re-signature and save a significant amount of computation and com- munication resources during user revocation.
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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 Using Proxy Resignatures on Efficient User Revocation in the Cloud

Public Auditing Using Proxy Resignatures on Efficient User Revocation in the Cloud

Abstract — In today's Computing world Cloud computing is one of the biggest innovation which uses advanced computational power and it improves data sharing and data storing capabilities. Main difficulty in cloud computing was issues of data integrity, data privacy and data access by unauthorised users. TTA (Trusted Third Party) is used to store and share data in cloud computing. Modification and sharing of data is quite simple as a group. To verify integrity of the shared data, members in the group needs to compute signatures on all shared data blocks. Different blocks in shared data are generally signed by different users due to data modifications performed by different users. User revocation is one of the biggest security threats in data sharing in groups. During user revocation shared data block signed by revoked user needs to download and re -sign by existing user. This task is very inefficacious due to the large size of shared data blocks on cloud. PANDA Plus is the new public auditing mechanism for the maintaining integrity of shared data with efficient user revocation in the cloud. This mechanism is based on proxy re-signatures concept which allows the cloud to re-sign blocks on behalf of existing users during user revocation, so that downloading of shared data blocks is not required. PANDA Plus is the public auditor which audits the integrity of shared data without retrieving the entire data from the cloud. It also monitor batch to verify multiple auditing tasks simultaneously .
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Public Auditing Using Proxy Resignatures on Efficient User Revocation in the Cloud

Public Auditing Using Proxy Resignatures on Efficient User Revocation in the Cloud

ABSTRACT: With information storage and sharing offerings within the cloud, customers can effectively regulate and share information as a bunch. To make sure shared data integrity will also be confirmed publicly, users within the group ought to compute signatures on the entire blocks in shared information. Specific blocks in shared knowledge are quite often signed by using special customers due to information adjustments carried out through different customers. For protection causes, once a consumer is revoked from the team, the blocks which have been earlier signed through this revoked user need to be re-signed through an existing person. The easy method, which enables an current consumer to down load the corresponding part of shared data and re-signal it in the course of person revocation, is inefficient as a result of the giant dimension of shared information within 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 resign 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.
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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

ABSTRACT: 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.
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Privacy-Preserving Public Auditingfor Shared data With Efficient User Revocation

Privacy-Preserving Public Auditingfor Shared data With Efficient User Revocation

The original user initially creates shareddata in the cloud, and shares it with group users. Boththe original user and group users are members of thegroup. Every member of the group is allowed to accessand modify shared data. Shared data and its verificationmetadata (i.e. signatures) are both stored in the cloudserver. A public verifier, such as a third- party auditor(TPA) providing expert data auditing services or a datauser outside the group intending to utilize shared data, isable to publicly verify the integrity of shared data storedin the cloud server. When a public verifier wishes to check the integrityof shared data, it first sends an auditing challenge tothe cloud server. After receiving the auditing challenge,the cloud server responds to the public verifier with anauditing proof of the possession of shared data. Then,this public verifier checks the correctness of the entiredata by verifying the correctness of the auditing proof.Essentially, the process of public auditing is a challengeand-response protocol between a public verifier and thecloud server [9].
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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

ABSTRACT: 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 straight forward 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, the author proposes 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, the author allows the cloud to resign 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.
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Efficient User Revocation for Shared Data in the Public Cloud

Efficient User Revocation for Shared Data in the Public Cloud

Thus here we come to conclude that our system have an ability to generate a fully unique public auditing mechanism through revocation of economical user for integrity of shared data. Propose system aims to enable the cloud to automatically re-sign data blocks through existing users while creating the proxy re-signatures. There is no need of user to re-sign blocks manually. Public verifier is able to audit the integrity of data being shared and does not retrieve the complete data, but some part of data shared are re-signed by cloud itself. This system enables batch auditing by examining multiple tasks in synchronous way. Her we are allowing semi-trusted cloud to verify and re-sign blocks using proxy signatures at the time of user revocation.
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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

ABSTRACT: Distributed computing has as of late developed as another worldview for facilitating and conveying administrations over the Internet. Distributed computing is appealing to entrepreneurs as it kills the prerequisite for clients to arrange ahead for provisioning, and permits undertakings to begin from the little and expansion assets just when there is an ascent in administration request. In any case, regardless of the way that distributed computing offers immense chances to the IT business, the improvement of distributed computing innovation is at present at its early stages, with numerous issues still to be tended to. With information stockpiling and sharing administrations in the cloud, clients can undoubtedly adjust and share information as a gathering. To guarantee shared information respectability can be checked freely, clients in the gathering need to register marks on every one of the pieces in shared information. Diverse squares in shared information are for the most part marked by various clients because of information changes performed by various clients. For security reasons, once a client is disavowed from the gathering, the squares which were already marked by this denied client must be re-marked by a current client. The straight forward system, which permits a current client to download the comparing a portion of shared information and re-sign it amid client disavowal, is wasteful because of the extensive size of shared information in the cloud. In this paper, we propose a novel open examining system for the uprightness of imparted information to proficient client renouncement personality a top priority. What's more, an open verifier is constantly ready to review the uprightness of shared information without recovering the whole information from the cloud, regardless of the possibility that some piece of shared information has been re-marked by the cloud.
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Index Terms: public auditing, shared data, and user revocation.

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

The scalability of panda is by reducing the total number of re-signing keys in the cloud and enabling batch auditing for verifying multiple auditing tasks simultaneously. Reduce the number of re-signing keys, the cloud needs to establish and maintain a resigning key for each pair of two users in the group. Since the number of users in the group is denoted as d, the total number of re-signing keys for the group is d (d-1)/2. If the cloud data is shared by a very large number of users, e.g., d =200, then the total number of resigning keys that the cloud has to securely store and manage is 19900, which significantly increases the complexity of key management in cloud.More specifically, if the total number of users in the group is still d=200 and the size of a short PL is d= 5, which means the cloud is able to convert signatures of a revoked user only into one of these five users shown in the short PL, then the total number of re-signing keys required with the short PL of five users is 990. It is only 5 percent of the number of re-signing keys with the entire PL of all the 200 users.
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Group User Revocation in Cloud for Shared Data

Group User Revocation in Cloud for Shared Data

techniques in their scheme, which make their scheme support public checking and efficient user revocation. However, in their scheme, the authors do not consider the data secrecy of group users. It means that, their scheme could efficiently support plaintext data update and integrity auditing, while not cipher text data. Our idea is to apply vector commitment scheme [9],[1] over the database. Then we leverage the Asymmetric Group Key Agreement (AGKA) [11],[1] and group signatures [13],[1] to support cipher text data base update among group users and efficient group user revocation respectively . With these features we will be using barcode scheme which will enhance the security of the system as the barcode can be used for login purpose and for key generation purpose as well. We will be recording the userid and its corresponding ip address for revocation or for auditing purpose.
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Enabling Efficient User Revocation and Unblocking of Authorized User

Enabling Efficient User Revocation and Unblocking of Authorized User

Abstract— Cloud storage auditing schemes for shared data refer to checking the integrity of cloud data shared by a group of users. User revocation is commonly supported in such schemes, as users may be subject to group membership changes for various reasons. Previously, the computational overhead for user revocation in such schemes is linear with the total number of file blocks possessed by a revoked user. The overhead, however, may become a heavy burden because of the sheer amount of the shared cloud data. Thus, how to reduce the computational overhead caused by user revocations becomes a key research challenge for achieving practical cloud data auditing. A novel storage auditing scheme that achieve highly-efficient user revocation independent of the total number of file blocks possessed by the revoked user in the cloud was proposed. This is achieved by exploring a novel strategy for key generation and a new private key update technique. Using this strategy and the technique, user revocation by just updating the non-revoked group users’ private keys rather than authenticators of the revoked user was realized. The integrity auditing of the revoked user’s data can still be correctly performed when the authenticators are not updated. Meanwhile, the proposed scheme is based on identity-base cryptography, which eliminates the complicated certificate management in traditional Public Key Infra structure (PKI) systems. The security and efficiency of the proposed scheme are validated via both analysis and experimental results.
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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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Secure Auditing For Shared Modified Cloud Data with Group User Quieting

Secure Auditing For Shared Modified Cloud Data with Group User Quieting

improve the content integrity in cloud data storage. Our novel design allows efficient user revocation operations to the cloud. Because of keys generated for the data not a user. In addition scheme allows aggregation of integrity auditing operations for multiple tasks (files) through our batch integrity auditing technique. When compared to other algorithm key size is very small, it is not able to hack easily. It is used for efficient revocation without updating private keys of remaining users. Cloud public verifier plays an important role when dealing with security aspects of cloud. In this paper, we have proposed a new public auditing mechanism for cloud for efficient user revocation while maintaining shared data integrity which allows cloud to re-sign blocks signed by revoked user. In future, concentrate on key management, how to revoke the private keys from the group members
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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

Wang et al., 2015). The way to preserve identity privacy from the TPA, because the identities of signers on shared data may point out that a desired user in the group is a higher valuable target than others, which is one of the significant problem introduced during public auditing for shared data in the cloud. We apply our project so as to accentuate the efficiency of user revocation in the cloud and provides highly developed scheme for cloud data signatures and thus avoiding unnecessary loss of time of the user to sign these data blocks again and again. Digital signature is a scheme use for demonstrating the authenticity of a digital message or documents which are uploaded by the valid or authorized user. To protect the integrity of knowledge within the cloud and it's best to introduce a 3rd party auditor (TPA) to perform auditing tasks on behalf of users. Such as third party auditor enjoys computation/communication resources that users might not possess. Previous information possession (PDP), 1st planned by, permits a booster to perform public auditing on the
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Efficient Data Integrity Auditing Scheme with Secure Group User Revocation Based On Vector Commitment

Efficient Data Integrity Auditing Scheme with Secure Group User Revocation Based On Vector Commitment

using interactive assumptions. In the BMW model [9], Boyen and Waters independently came up with a different standard model proposal [19] using more classical assumptions and they subsequently required their scheme [21] to o btain constant-size signatures. In the dynamic model [11], Grwoth [8] described a system with constantsize signatures without random oracles but this scheme was rather a feasibility result than an effcient construction. Later on, Growth gave [9] a fairly efficient realization with signatures consisting of about 50 group elements in the Standard model with the strongest anonymity level. Revocation. In group signatures, membership revocation has received much attention in the last decade [2, 8, 9, 18] since revocation is central to digital signature schemes. One simple solution is to generate a new group public key and deliver a new signing key to each unrevoked member. However, in large groups, it may be inconvenient to change the public key and send a new secret to signers
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