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Article Details

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.

Ensuring Data Provenance with Package Watermarking

Author 1: Muhammad Umer Sarwar
Author 2: Muhammad Kashif Hanif
Author 3: Ramzan Talib
Author 4: Muhammad Asad Abbas

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.080560

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 5, 2017.

  • Abstract and Keywords
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Abstract: The last decade has shown tremendous growth data production from different sectors, e.g., biology, financial markets, scientific computing, business processes, Internet of Things. The “Data is New Oil” has become a proverb in academic and corporate circles. Accordingly, tracing, recording origin and deriving data called data provenance has gained tremendous traction across board. Privacy and security of data are major challenges to provenance management. This can be tackled using watermarking. The downside of majority of existing watermarking techniques is data distortion. In this work, we purpose a novel approach called package watermarking that addresses the data capacity, usability, robustness, security, distortion, verifiability, and detectability issues in data provenance.

Keywords: Data security; Provenance; Watermarking; Tempering; Cryptography; Encryption; Decryption

Muhammad Umer Sarwar, Muhammad Kashif Hanif, Ramzan Talib and Muhammad Asad Abbas, “Ensuring Data Provenance with Package Watermarking” International Journal of Advanced Computer Science and Applications(IJACSA), 8(5), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080560

@article{Sarwar2017,
title = {Ensuring Data Provenance with Package Watermarking},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080560},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080560},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {5},
author = {Muhammad Umer Sarwar and Muhammad Kashif Hanif and Ramzan Talib and Muhammad Asad Abbas}
}


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