English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Data integrity is the protection of information from damage or deliberate manipulation. Large Scale image datasets are being shared exponentially. When these are outsourced in the cloud, compression and decompression of the images is required. Though images stored in the cloud can be shared across multiple users, the integrity of this shared data is prone to hardware or software failures and human errors. Previously designed techniques enable both data owners and public verifiers to efficiently audit the integrity without retrieving the entire data, butrevealing confidential information such as privacy identity. Auto Image compression and decompression from the cloud server eases the work of users. This paper proposes public auditing by exploiting ring signatures to compute verification metadata for preserving integrity. The signer's identity on each block is kept private from public verifiers who verify shared data integrity without requiring compressing and decompressing large image files which is automated through BCIF framework. The ring layout also enables simultaneous multiple auditing.

Integrity and Privacy Sustenance of Shared Large Scale Images in the Cloud by Ring Signature