  With the increasing widely spread digital media become using in most fields
such as medical care, Oceanography, Exploration processing, security purpose,
military fields and astronomy, evidence in criminals and more vital fields and
then digital Images become have different appreciation values according to what
is important of carried information by digital images. Due to the easy
manipulation property of digital images (by proper computer software) makes us
doubtful when are juries using digital images as forensic evidence in courts,
especially, if the digital images are main evidence to demonstrate the
relationship between suspects and the criminals. Obviously, here demonstrate
importance of data Originality Protection methods to detect unauthorized
process like modification or duplication and then enhancement protection of
evidence to guarantee rights of incriminatory. In this paper, we shall
introduce a novel digital forensic security framework for digital image
authentication and originality identification techniques and related
methodologies, algorithms and protocols that are applied on camera captured
images. The approach depends on implanting secret code into RGB images that
should indicate any unauthorized modification on the image under investigation.
The secret code generation depends mainly on two main parameter types, namely
the image characteristics and capturing device identifier. In this paper, the
architecture framework will be analyzed, explained and discussed together with
the associated protocols, algorithms and methodologies. Also, the secret code
deduction and insertion techniques will be analyzed and discussed, in addition
to the image benchmarking and quality testing techniques.
