Detection of Tampered Images Using Blockchain Technology

Detection of Tampered Images Using Blockchain Technology

Abstract

Multimedia data, especially images are increasing dramatically. Images published on the Web are more often facing the risk of being tampered or manipulated since their content is easily mutable. Using blockchain technology provides advantages and, at the same time, challenges when dealing with this issue due to the following reasons: (a) data in a blockchain are well saved and immutable and (b) adding the data directly to a blockchain may consume much time which makes it computationally and economically expensive. Thus, we propose a blockchain-based solution which considers two key aspects: First, using a blockchain to register information about ownership and copyrights for authors, as well as descriptive information of an image, used to detect copyright violations. Second, avoiding insertion of raw image data into the blockchain, but storing only unique descriptive metadata about the images, allowing for a more efficient implementation of the system. This work considers different well-known image matching approaches to validate the power of the proposed approach, which allows for an efficient checking of violations of copyrights for a given image.

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Authors
  • Jnoub, Nour
  • Klas, Wolfgang
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
IEEE International Conference on Blockchain and Cryptocurrency
Divisions
Multimedia Information Systems
Event Location
Seoul, South Korea
Event Type
Conference
Event Dates
May
Page Range
pp. 2-4
Date
May 2019
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