Top PDF 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

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

Sadly, nothing unless there are other options systems considers the effectiveness of client denial while examining the accuracy of shared information in the cloud. With shared information, once a client adjusts a piece, client additionally needs to figure another mark for the changed square. Because of the alterations from various clients, diverse pieces are marked by various clients. For security reasons, when a client leaves the gathering or gets out of hand, this client must be denied from the gathering. Thus, this denied client ought to never again have the capacity to get to and alter shared information, and the marks produced by this renounced client are no more legitimate to the gathering [10]. Hence, despite the fact that the substance of shared information is not changed amid client renouncement, the pieces, which were beforehand marked by the denied client, still should be re-marked by a current client in the gathering [11]. Subsequently, the respectability of the whole information can even now checked with general society keys of existing clients just. Such advancements are shaded and not all that centered.
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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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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

With data storage and sharing services in the cloud, us- ers can easily modify and share data as a group. To en- sure 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 gener- ally 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 resign blocks on behalf of existing users during user revocation, so that existing users do not need to download and re-sign blocks by them- selves. 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 audit- ing tasks simultaneously. Experimental results show that our mechanism can significantly improve the efficiency of user revocation.
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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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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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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

advantages as a relief of the burden for storage manage- ment, universal data access with independent geographi- cal locations, and avoidance of capital expenditure on hardware, software, and personnel maintenances, etc. As user don’t have control over data after storing it in cloud so the correctness of the data in the cloud is being put at risk due to the following reasons. First of all, although the infrastructures under the cloud are much more pow- erful and reliable than personal computing devices but there is threat of data integrity. Secondly, Cloud service provider (CSP) might by discard data that has not been or is rarely accessed, or even hide data loss incidents so as to maintain a reputation. To address these problems, pub- lic key based homomorphism linear authenticator (HLA) technique can be used for auditing and by integrating the HLA with random masking, protocol guarantees that the TPA could not learn any knowledge about the data con- tent stored in the cloud server during the efficient auditing process. The aggregation and algebraic properties of the authenticator further benefits the design for batch audit- ing. In share data services, as data is modified by different users that’s why different blocks in shared data is signed by different users .
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Privacy-Preserving Public Auditingfor Shared data With Efficient User Revocation

Privacy-Preserving Public Auditingfor Shared data With Efficient User Revocation

A public verifier could be a data user (e.g., researcher) who would like to utilize the owner’s data via the cloud or a third-party auditor (TPA) who can provide expert integrity checking services [3]. Moving a step forward, Wang et al. designed an advanced auditing mechanism [2] (named as WWRL in this paper), so that during public auditing on cloud data, the content of private data belonging to a personal user is not disclosed to any public verifiers. Unfortunately, current public auditing solutions mentioned above only focus on personal data in the cloud [1]. We believe that sharing data among multiple users is perhaps one of the most engaging features that motivates cloud storage. Therefore, it is also necessary to ensure the integrity of shared data in the cloud is correct. Existing public auditing mechanisms can actually be extended to verify shared data integrity [1], [2], [4], [5]. However, a new significant privacy issue introduced in the case of shared data with the use of existing mechanisms is the leakage of identity privacy to public verifiers [1]. Failing to preserve identity privacy on shared data during public auditing will reveal significant confidential information (e.g., which particular user in the group or special block in shared data is a more valuable target) to public verifiers. Specifically, as shown in Fig. 1, after performing several auditing tasks, this public verifier can first learn that Alice may be a more important role in the group because most of the blocks in the shared file are always signed by Alice; on the other hand, this public verifier can also easily deduce that the eighth block may contain data of a higher value (e.g., a final bid in an auction), because this block is frequently modified by the two different users. In order to protect these confidential information, it is essential and critical to preserve identity privacy from public verifiers during public auditing.
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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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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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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

This paper discusses Privacy preserving public auditing mechanisms, homomorphic linear authenticator with random masking have been used to guarantee that the third party auditor would not learn any knowledge about the data content stored on the cloud server during the efficient auditing process, which not only eliminates the burden of cloud user from the tedious and possibly expensive auditing task, but also alleviates the user’s fear of their outsourced data leakage. 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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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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Enabling Efficient User Revocation and Unblocking of Authorized User

Enabling Efficient User Revocation and Unblocking of Authorized User

member can maliciously modify shared data without being identified. Since uncontrolled malicious modifications may wreck the usability of the shared data, the identity traceability should also be retained in data sharing. An efficient public auditing solution that can preserve the identity privacy and the identity traceability for group members simultaneously was proposed. Specifically, first design a new framework for data sharing in cloud, and formalize the definition of the public auditing scheme for shared cloud data supporting identity privacy and traceability. And then construct such a scheme, in which a group manager is introduced to help members generate authenticators to protect the identity privacy and two lists are employed to record the members who perform the latest modification on each block to achieve the identity traceability. Besides, the scheme also achieves data privacy during authenticator generation by utilizing blind signature technique. Based on the proposed scheme, further design an auditing system for practical scenarios. Finally, the proposed scheme is secure based on several security requirements, and justify its performance by concrete implementations.
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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

C. CongWang,et.al.(2013),Privacy-Preserving Public Auditing for Secure Cloud Storage; Using cloud storage, users can remotely store their data 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. However, the fact that users no longer have physical possession of the outsourced data makes the data integrity protection in cloud computing a formidable task, especially for users with constrained computing resources. Moreover, users should be able to just use the cloud storage as if it is local, without worrying about the need to verify its integrity. Thus, enabling public audit ability for cloud storage is of critical importance so that users can resort to a third-party auditor (TPA) to check the integrity of outsourced data and be worry free. To securely introduce an effective TPA, the auditing process should bring in no new vulnerabilities toward user data privacy, and introduce no additional online burden to user. In this paper, they propose a secure cloud storage system supporting privacy-preserving public auditing. They further extend those result to enable the TPA to perform audits for multiple users simultaneously and efficiently. Extensive security and performance analysis show the proposed schemes are provably secure and highly efficient. Those preliminary experiment conducted on Amazon EC2 instance further demonstrates the fast performance of the design.
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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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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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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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Open Integrity Auditing for Shared Dynamic Cloud Data with Cluster User Revocation

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

improve the storage limitation of resource constrain local devices. Recently, some commercial cloud storage services, such as the simple storage service (S3) [1] online data backup services of Amazon and some practical cloud based software Google Drive [2], Dropbox [3], Mozy [4], Bitcasa [5], and Memopal [6], have been built for cloud application. Since the cloud servers may return an invalid result in some cases, such as server hardware/software failure, human maintenance and malicious attack [7], new forms of assurance of data integrity and accessibility are required to protect the security and privacy of cloud user’s data.
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Efficient Group user Revocation Mechanism with a Public Integrity Auditing System for Sharing Data in Cloud

Efficient Group user Revocation Mechanism with a Public Integrity Auditing System for Sharing Data in Cloud

The improvements in cloud computing as well as third party cloud service providers (CSP’s) provides efficient way to organization, enterprises to outsource their important data to which overcomes the data storage restrictions of resource constrain local devices. There are already many cloud storage services are available in market like Amazon’s simple storage service (S3) [1] andcloud‘s software as a service like Google Drive, Dropbox, Mozy, Bitcasa and Memopal [2][3][4][5][6]. Sometimes invalid results are provided by cloud server due to human maintenance,failure of hardware or software and malicious attack. There should be need to protect privacy and security of cloud user’s data by means of accessibility and data integrity.
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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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