Abstract:
Lossless pixel value encrypted images still maintains the some properties of their respective original plain images. Ciphered Images that maintain the properties of their plain images of a given domain are very useful in certain applications where the conservation of pixel values but visual concealment is of a paramount concern. Medical images that have a fully reversible and recoverable process are of key importance in Medicine. Hence visually ciphered images stored or transmitted over secured or unsecured networks can also be analyzed in a forensic investigation to determine possible plain image equivalence. Digital Forensics processes have played crucial role in fighting crime both in society and cyberspace. In this paper, feature based cryptanalytic technique for digital forensics analysis of visual cryptographic digital image data based on formal concept analysis was proposed. Different techniques of visual cryptographic approaches were engaged in ciphering the plain image and our proposed approach was engaged in the cryptanalysis of the plain image after feature extractions from both the plain and the ciphered images. A lattice was generated which was then used authenticate and match the ciphered images to their respective ciphered plain images. At the end, the Galois lattice of both ciphered and plain image remained the same
