This framework focuses on verifying the ownership of digital evidence and authenticity with the help of localized tamper detection on a blockchain platform. Even though authentication has been tried before, there are concerns over the inability to make the data immutable and as to where exactly the modification is taking place. The algorithm divides the original image into 8x8 pixel blocks, which are non-overlapping, followed by cryptographic hash generation of the content of the block separately. The created partial hashes are then stored on an underlying layer of a decentralized blockchain to ensure immutability. The system allows comparison in two modes to achieve reliability, which includes block-level comparison of the recovered hashes and comparison upon reconstructing the original image. Also, at the stage of the interactive analysis of the workflow, sophisticated forensic tools are employed, such as Error Level Analysis and the Copy-and-Move algorithm, in order to identify the type and character of manipulations at the identified locations. Empirical evidence demonstrates that the technique offers an indelible computerized fingerprint of each portion of the photograph and deters an area that was altered; therefore, it enhances the dependability in a legal setting involving computerized evidence.
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