scispace - formally typeset
Open AccessProceedings ArticleDOI

Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing

TLDR
This paper utilize and uniquely combine the public key based homomorphic authenticator with random masking to achieve the privacy-preserving public cloud data auditing system, which meets all above requirements.
Abstract
Cloud Computing is the long dreamed vision of computing as a utility, where users can remotely store their data into the cloud so as to enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources. By data outsourcing, users can be relieved from the burden of local data storage and maintenance. However, the fact that users no longer have physical possession of the possibly large size of outsourced data makes the data integrity protection in Cloud Computing a very challenging and potentially formidable task, especially for users with constrained computing resources and capabilities. Thus, enabling public auditability for cloud data storage security is of critical importance so that users can resort to an external audit party to check the integrity of outsourced data when needed. To securely introduce an effective third party auditor (TPA), the following two fundamental requirements have to be met: 1) TPA should be able to efficiently audit the cloud data storage without demanding the local copy of data, and introduce no additional on-line burden to the cloud user; 2) The third party auditing process should bring in no new vulnerabilities towards user data privacy. In this paper, we utilize and uniquely combine the public key based homomorphic authenticator with random masking to achieve the privacy-preserving public cloud data auditing system, which meets all above requirements. To support efficient handling of multiple auditing tasks, we further explore the technique of bilinear aggregate signature to extend our main result into a multi-user setting, where TPA can perform multiple auditing tasks simultaneously. Extensive security and performance analysis shows the proposed schemes are provably secure and highly efficient.

read more

Citations
More filters
Proceedings ArticleDOI

Efficient Integrity Auditing for Shared Data in the Cloud with Secure User Revocation

TL;DR: This paper proposes a novel public auditing scheme for the integrity of shared data with efficient and collusion-resistant user revocation utilizing the concept of Shamir secret sharing and demonstrates that the proposed scheme is provably secure and highly efficient.
Journal ArticleDOI

Performance Evaluation of Min-Min and Max-Min Algorithms for Job Scheduling in Federated Cloud

TL;DR: This study investigates the performance of min-min and minmax scheduling algorithms using CloudSim software to understand its implications on customers’ applications or Cloud deployed systems.

SUODY-Preserving Privacy in Sharing Data with Multi-Vendor for Dynamic Groups

TL;DR: This paper proposes a privacy preserved multi owner data sharing scheme, named Suody, taking maximum advantage of group signature to construct homomorphic authenticators, signed receipts and dynamic broadcast encryption techniques, so that a user in the cloud can share the data with others using withheld authorship.
Journal ArticleDOI

Integrity Audit of Shared Cloud Data with Identity Tracking

TL;DR: In this scheme, the user sends the encrypted data to the cloud and the data tag to the Rights Distribution Center (RDC) by using data blindness technology and the security of the scheme is proved through provable security theory.
Journal ArticleDOI

A Privacy-Preserving and Untraceable Group Data Sharing Scheme in Cloud Computing

TL;DR: Wang et al. as mentioned in this paper proposed a privacy-preserving and untraceable scheme to support multiple users in sharing data in cloud computing, where group members and a proxy use the key exchange phase to obtain keys and resist multiparty collusion if necessary.
References
More filters
Journal Article

Above the Clouds: A Berkeley View of Cloud Computing

TL;DR: This work focuses on SaaS Providers (Cloud Users) and Cloud Providers, which have received less attention than SAAS Users, and uses the term Private Cloud to refer to internal datacenters of a business or other organization, not made available to the general public.
Book ChapterDOI

Short Signatures from the Weil Pairing

TL;DR: A short signature scheme based on the Computational Diffie-Hellman assumption on certain elliptic and hyperelliptic curves is introduced, designed for systems where signatures are typed in by a human or signatures are sent over a low-bandwidth channel.
Journal ArticleDOI

Efficient signature generation by smart cards

TL;DR: An efficient algorithm that preprocesses the exponentiation of a random residue modulo p is presented, which improves the ElGamal signature scheme in the speed of the procedures for the generation and the verification of signatures and also in the bit length of signatures.
Posted Content

Provable Data Possession at Untrusted Stores.

TL;DR: Ateniese et al. as discussed by the authors introduced the provable data possession (PDP) model, which allows a client that has stored data at an untrusted server to verify that the server possesses the original data without retrieving it.
Journal ArticleDOI

Security Arguments for Digital Signatures and Blind Signatures

TL;DR: It is proved that a very slight variation of the well-known El Gamal signature scheme resists existential forgeries even against an adaptively chosen-message attack and an appropriate notion of security related to the setting of electronic cash is defined.
Related Papers (5)