Digital provenance: Enabling secure data forensics in cloud computing

Jin Li, Xiaofeng Chen, Qiong Huang, Duncan S. Wong

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

41 Citations (Scopus)

Abstract

Secure provenance that records the ownership and process history of data objects is vital to the success of data forensics in cloud computing. In this paper, we propose a new secure provenance scheme based on group signature and attribute-based signature techniques. The proposed provenance scheme provides confidentiality on sensitive documents stored in a cloud, unforgeability of the provenance record, anonymous authentication to cloud servers, fine-grained access control on documents, and provenance tracking on disputed documents. Furthermore, it is assumed that the cloud server has huge computation capacity, while users are regarded as devices with low computation capability. Aiming at this, we show how to utilize the cloud server to outsource and decrease the user's computational overhead during the process of provenance. With provable security techniques, we formally demonstrate the security of the proposed scheme under standard assumptions. © 2013 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)259-266
JournalFuture Generation Computer Systems
Volume37
Online published18 Oct 2013
DOIs
Publication statusPublished - Jul 2014

Research Keywords

  • Attribute-based signature
  • Cloud computing
  • Privacy
  • Provenance

Fingerprint

Dive into the research topics of 'Digital provenance: Enabling secure data forensics in cloud computing'. Together they form a unique fingerprint.

Cite this