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What is Data Authenticity

Handbook of Research on Computational Forensics, Digital Crime, and Investigation: Methods and Solutions
Digital data can be assumed to be authentic if it is provable that it has not been corrupted after its creation. In a strong sense, any processing means corruption, that is digital data to be authentic must be only the outcome of an acquisition process of a real world scene without any successively processing; but in a wide sense, authentic data must accordingly represent a real world scene and even if some processing has been probably applied the meaning of the scene must not be modified. Data authenticity also means that a digital object is indeed what it claims to be or what it is claimed to be.
Published in Chapter:
Multimedia Forensic Techniques for Acquisition Device Identification and Digital Image Authentication
Roberto Caldell (University of Florence, Italy), Irene Amerini (University of Florence, Italy), Francesco Picchioni (University of Florence, Italy), Alessia De Rosa (University of Florence, Italy), and Francesca Uccheddu (University of Florence, Italy)
DOI: 10.4018/978-1-60566-836-9.ch006
Abstract
Multimedia forensics can be defined as the science that tries, by only analysing a particular digital asset, to give an assessment on such a content and to extract information that can be useful to address and support an investigation linked to the scene represented in that specific digital document. The basic idea behind multimedia forensics relies on the observation that both the acquisition process and any post-processing operation leave a distinctive imprint on the data, as a sort of digital fingerprint. The analysis of such a fingerprint may permit to determine image/video origin and to establish digital content authenticity.
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