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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.

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Citations
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Proceedings ArticleDOI

Cybersecurity: An Analysis of the Protection Mechanisms in a Cloud-centered Environment

TL;DR: The numerous threats and data exfiltration that has taken place in the authors' network require that significant effort is made to ensure the safety of organizational data and equipment and the use of virtual machines in cloud networks makes it attractive and perhaps safer than the regular networks.
Book ChapterDOI

Privacy-Preserving Comparable Encryption Scheme in Cloud Computing

TL;DR: A basic Short Comparable Encryption scheme based on Sliding Window method, namely SCESW, is proposed, which can relief computational and storage burden as well as enhance work efficiency by utilizing sliding window method.
Journal ArticleDOI

Privacy-Preserving Public Auditing for Shared Cloud Data With Secure Group Management

- 01 Jan 2022 - 
TL;DR: Wang et al. as discussed by the authors proposed a public auditing scheme for shared data that supports data privacy, identity traceability, and group dynamics, but their scheme is insecure against tag forgery or proof forgery attacks, which means that the cloud server can still generate valid proof that the server had accurately stored the data.
Book ChapterDOI

Range Query over Encrypted Metering Data for Financial Audit

TL;DR: This chapter introduces a novel privacy-preserving range query scheme over encrypted metering data, named PaRQ, to address the privacy issues in financial auditing for smart grid.

Self Destruction System for Protecting Data Privacy in Cloud Storage

TL;DR: This paper implemented self destructive system through the different functionality and different security properties evaluations of this system, which aims at securing the user valuable data’s privacy.
References
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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.
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