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
Journal ArticleDOI

Cloud privacy objectives a value based approach

TL;DR: There is little to no guidance in the literature or in practice as to what organizations need to do to ensure they protect their stakeholders privacy in a cloud computing environment, so this study works at closing this knowledge gap by identifying cloud privacy objectives.
Proceedings ArticleDOI

Lightweight and Scalable DAG based distributed ledger for verifying IoT data integrity

TL;DR: Lightweight and scalable DAG based distributed ledger for IoT (LSDI) as discussed by the authors uses two key techniques: Pruning and Clustering, to reduce 1) storage overhead in IoT Gateways by removing sufficiently old transactions, and 2) computational overhead of IoT GWs by partitioning a large p2P network into smaller P2P networks.
Proceedings ArticleDOI

Improving data sharing in data rich environments

TL;DR: This work introduces an alteration mechanism, more precisely a restriction one, based on a policy analysis language, that reflects the level of trust and relations the users have, and are represented as policies inside the data sharing agreements.
Journal ArticleDOI

Secure Cloud Storage Protocols with Data Dynamics Using Secure Network Coding Techniques

TL;DR: In this paper, the authors explore the possibility of constructing a secure cloud storage for dynamic data by leveraging the algorithms involved in secure network coding, and they construct a protocol (DSCS I) based on a secure NCC protocol, which is secure in the standard model.
Proceedings ArticleDOI

Accountable proof of ownership for data using timing element in cloud services

TL;DR: This paper presents a novel idea for secure accountability of timing element for data in massively scalable systems, which allows a service provider to incorporate timing accountability of data generated at the provider, by requesting proofs from accountability servers in the cloud.
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)