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DOI: 10.14569/IJACSA.2017.080654
PDF

Data Provenance for Cloud Computing using Watermark

Author 1: Muhammad Umer Sarwar
Author 2: Muhammad Kashif Hanif
Author 3: Ramzan Talib
Author 4: Bilal Sarwar
Author 5: Waqar Hussain

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 6, 2017.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: The term data is new oil which has become a proverb due to large amount of data generation from various sources. Processing and storing such tremendous amount of data is beyond the capabilities of traditional computing system. Cloud computing preferably considered next-generation architecture due to dynamic resource pools, low cost, reliability, virtualization, and high availability. In cloud computing, one important issue is to track and record the origin of data objects which is known as data provenance. Major challenges to provenance management in distributed environment are privacy and security. This paper presents data provenance management for cloud computing using watermarking technique. The experiment is performed by using both visible and hidden watermarks on shared data objects stored in cloud computing environment. The experimental results demonstrate the efficiency and reliability of proposed technique.

Keywords: Cloud computing; data provenance; watermark; security; visible watermark; invisible watermark

Muhammad Umer Sarwar, Muhammad Kashif Hanif, Ramzan Talib, Bilal Sarwar and Waqar Hussain, “Data Provenance for Cloud Computing using Watermark” International Journal of Advanced Computer Science and Applications(IJACSA), 8(6), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080654

@article{Sarwar2017,
title = {Data Provenance for Cloud Computing using Watermark},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080654},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080654},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {6},
author = {Muhammad Umer Sarwar and Muhammad Kashif Hanif and Ramzan Talib and Bilal Sarwar and Waqar Hussain}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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