Tamper-Proof Privacy Auditing for Artificial Intelligence Systems Conferences

abstract

• Privacy audit logs are used to capture the actions of participants in a data sharing environment in order for auditors to check compliance with privacy policies. However, collusion may occur between the auditors and participants to obfuscate actions that should be recorded in the audit logs. In this paper, we propose a Linked Data based method of utilizing blockchain technology to create tamper-proof audit logs that provide proof of log manipulation and non-repudiation.

authors

• Sutton, Andrew
• Samavi, Reza

status

• published 

publication date

• July 2018

published in

• IJCAI International Joint Conference on Artificial Intelligence  Journal

presented at event

• Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}  Conference

keywords

• Computer Science
• Computer Science, Artificial Intelligence
• Computer Science, Interdisciplinary Applications
• Computer Science, Theory & Methods
• Science & Technology
• Technology

Digital Object Identifier (DOI)

• 10.24963/ijcai.2018/756

International Standard Book Number (ISBN) 13

• 978-0-9992411-2-7

start page

• 5374

end page

• 5378

volume

• 2018-July