Privacy Preserving Of Cloud Storage Security

EasyChair Preprint 3606

Abstract

Cloud computing has been envisioned as the next-generation architecture of IT enterprise. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centres, where the management of the data and services may not be fully trustworthy. This unique attribute, however, poses many new security challenges which have not been well understood. In this article, we focus on cloud data storage security, which has always been an important aspect of quality of service. To ensure the correctness of users' data in the cloud, we propose an effective and flexible distributed scheme with two salient features, opposing to its predecessors. By utilizing the homomorphic token with distributed verification of erasure-coded data, our scheme achieves the integration of storage correctness insurance and data error localization, i.e., the identification of misbehaving server (s). Unlike most prior works, the new scheme further supports secure and efficient dynamic operations on data blocks, including: data update, delete and append. Extensive security and performance analysis show that the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks.

Keyphrases: CSP, Cloud Computing, Machinate Attacks, Malware, Storage Security

@booklet{EasyChair:3606,
  author    = {Adarsh Pandey and A. Daniel},
  title     = {Privacy Preserving Of Cloud Storage Security},
  howpublished = {EasyChair Preprint 3606},
  year      = {EasyChair, 2020}}