Privacy preserving integrity checking of shared dynamic cloud data with user revocation

Thokchom, Surmila; Saikia, Dilip Kr.

doi:10.1016/j.jisa.2019.102427

Cited by 11 publications

(8 citation statements)

References 9 publications

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“…It contains six algorithms such as: VC.KeyGen, VC.Com, VC.Open, VC.Ver, VC.Update, VC.ProofUpdate. Thokcham and Saikia [26] used a vector commitment scheme along with ring signature to generate proof during public auditing of cloud storage. Jiang et al [27] proposed public auditing scheme for shared dynamic data with group user revocation using vector commitment and verifier-local revocation group signature.…”

Section: Vector Commitmentmentioning

confidence: 99%

“…Auditing is based on identity-based cryptography. Thokcham and Saikia [26] proposed collusion resistant auditing using CDH based Ring Signature scheme. Collusion between revoked user and CS is avoided through data owner by regularly updating valid members list to CS and TPA after each user revocation.…”

Section: ) Collusion Resistant Public Auditing Using Iomentioning

confidence: 99%

“…From Table V, Zhang et al [47] is one lightweight auditing scheme using IO. This scheme identified collusion attack between malicious auditor and cloud server but has Thokcham and Saikia [26] (q-c)(M+E) (n+4)P+6E+7M+(c+1)M (2n+2)E+nM not given any solution for this. Also, it doesn't support user groups.…”

Section: ) Collusion Resistant Public Auditing Using Iomentioning

confidence: 99%

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Towards Lightweight Provable Data Possession for Cloud Storage Using Indistinguishability Obfuscation

Chaudhari

Swain

2022

IEEE Access

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Cloud Computing has proved to be a boon for many individuals and organizations who cannot afford infrastructure and maintenance cost of resources. But the untrusted nature of Cloud Server (CS) brings many challenges related to security and trust. Public auditing is one process that enables users to delegate the integrity verification of outsourced data to external party such as Third-Party Auditor (TPA). Provable Data Possession (PDP) is one approach of auditing that can verify the integrity using cryptographic algorithms. Many PDP schemes are based on bilinear pairing and homomorphic authenticators that involves complex computations that leads to increased verification time. The lightweight auditing processes is a need today using modern cryptographic techniques. Indistinguishability Obfuscation (IO) is one of the modern but weaker primitive that, if used with one-way functions, provide multiple cryptographic constructs. Sahai and Waters proposed construction of cryptographic constructs using IO. Zhang et al. proposed lightweight public auditing scheme using these IO. But still there are many goals to achieve such as group support, collusion handling, privacy-preserving etc. using IO. In this paper, we are trying to explore these issues and lists future research directions in this field. INDEX TERMSPublic Auditing, Provable Data Possession, Homomorphic verifiable Tags, Indistinguishability Obfuscation. I. INTRODUCTION Evolution in the field of computer technology and Internetbased services open up the era of Cloud Computing. Highspeed processors with improved service computing architecture led to the development of large data centers.Flexible and increased network bandwidth enables a client to access or subscribe to data and services from remote data centers. This improved computing architecture helps many organizations or individuals to expand their businesses without any investment in infrastructure and maintenance costs. This paradigm mainly provides services in computing and storage. Multiple computing resources are easily assigned and released to cloud users based on their needs. Cloud datastore is one of the widely used services among cloud users. Cloud users can easily store and share information on cloud storage. Although it provides a promising platform, this paradigm has brought many security and performance issues with it. The main concern is that of integrity verification of outsourced data at remote

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Section: Vector Commitmentmentioning

confidence: 99%

Section: ) Collusion Resistant Public Auditing Using Iomentioning

confidence: 99%

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Towards Lightweight Provable Data Possession for Cloud Storage Using Indistinguishability Obfuscation

Chaudhari

Swain

2022

IEEE Access

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“…ODPDP scheme not proposing any solution for identity privacy. We extend this scheme by using CDH based ring signature to achieve identity privacy proposed by Thokcham [34]. P 2 DPDP also uses RBMT of ODPDP which allows verification of multiple dynamic operations in batch mode compared to MHT in Zhang et al [36].…”

Section: A Related Workmentioning

confidence: 99%

Privacy Preserving Dynamic Provable Data Possession with Batch Update for Secure Cloud Storage

Chaudhari¹,

Swain²

2021

IJACSA

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Cloud Server (CS) is an untrusted entity in cloud paradigm that may hide accidental data loss to maintain its reputation. Provable Data Possession (PDP) is a model that allows Third Party Auditor (TPA) to verify the integrity of outsourced data on behalf of cloud user without downloading the data files. But this public auditing model faces many security and performance issues such as: unnecessary computational burden on user as well as on TPA, to preserve identities of users from TPA during auditing, support for dynamic updates etc. Many PDP schemes creates computational burden either on TPA or Cloud User. To balance this overhead between TPA and User, this paper proposes Privacy-Preserving Dynamic Provable Data Possession (P 2 DPDP) scheme, which is based on ODPDP scheme. In ODPDP scheme, user relieves the burden by signing a contract with TPA regarding verification of his outsourced data. But this scheme generates computation overhead on TPA. To reduce this computation overhead of TPA, our P 2 DPDP scheme uses Indistinguishability Obfuscation (IO) with one-way function such as message authentication code to make a lightweight auditing process. P 2 DPDP scheme uses Rank-based Merkle Tree (RBMT) to support dynamic updates in batch mode which greatly reduces computation overhead of TPA. ODPDP lacks privacy which is maintained in P 2 DPDP using ring signature technique. Our experimental results demonstrate the reduced verification time and computation cost compared to existing schemes.

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“…The real-time scenario demands the cloud environment to be more realistic by providing support to dynamic operations that includes data insertion, updation and deletion [5][6][7][8][9][10][11]. However, most of the existing literature are based on static data and do not support dynamic operations.…”

Section: Introductionmentioning

confidence: 99%

Outsourced Auditing With Data Integrity Verification Scheme (OA-DIV) and Dynamic Operations for Cloud Data with Multi-Copies

Arjun¹,

Vinay²

2018

EAI Endorsed Transactions on Cloud Systems

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Privacy preserving integrity checking of shared dynamic cloud data with user revocation

Cited by 11 publications

References 9 publications

Towards Lightweight Provable Data Possession for Cloud Storage Using Indistinguishability Obfuscation

Towards Lightweight Provable Data Possession for Cloud Storage Using Indistinguishability Obfuscation

Privacy Preserving Dynamic Provable Data Possession with Batch Update for Secure Cloud Storage

Outsourced Auditing With Data Integrity Verification Scheme (OA-DIV) and Dynamic Operations for Cloud Data with Multi-Copies

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