Efficient privacy-preserving third-party auditing for ambient intelligence systems

Changsheng Wan; Juan Zhang; Bei Pei; Changsong Chen

doi:10.1007/s12652-015-0295-6

ScienceGate Book Chapters

JOURNAL ARTICLE

Efficient privacy-preserving third-party auditing for ambient intelligence systems

Changsheng Wan Juan Zhang Bei Pei Changsong Chen

Year: 2015 Journal: Journal of Ambient Intelligence and Humanized Computing Vol: 7 (1)Pages: 21-27 Publisher: Springer Science+Business Media

DOI: 10.1007/s12652-015-0295-6

Get Full-Text PDF Get Analytical Report

Keywords:

Computational intelligence Computer science Audit Third party Computer security Business intelligence Ambient intelligence Internet privacy Data mining Artificial intelligence Business Accounting

Metrics

Cited By

0.94

FWCI (Field Weighted Citation Impact)

Refs

0.87

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Cryptography and Data Security

Physical Sciences → Computer Science → Artificial Intelligence

Cloud Data Security Solutions

Physical Sciences → Computer Science → Information Systems

Blockchain Technology Applications and Security

Physical Sciences → Computer Science → Information Systems

Efficient privacy-preserving third-party auditing for ambient intelligence systems

Metrics

Citation History

Topics

Related Documents

Efficient and Privacy Preserving Third Party Auditing for a Distributed Storage System

Privacy Preserving Third Party Auditing for Secure Cloud Storage

Privacy Preserving Third Party Auditing in Multi Cloud Storage Environment

A Privacy-Preserving Unpadded RSA based-Third Party Auditing Protocol for Cloud Storage Secure

Efficient Privacy-Preserving Cloud Data Auditing Protocol