ABSTRACT
Steganography is the art of hiding messages or other forms of
data and information within another medium. The goal of
steganography is to hide the information so it can escape
detection. On the other hand, steganalysis attempts to uncover
such hidden messages through a variety of techniques. Many
freeware and commercially available steganographic tools are
currently available for hiding information in digital images.[1]
Corresponding to these tools aremethods devised specifically
for each algorithm to detect the hidden contents. Almost all
current steganalysis tools today require prior knowledgeof the
algorithm that was used during the steganography process; in
other words, some statistical test must be performed to deter-
mine the signature associatedwith a particular steganographic
toolor technique.Hence,by introducingnewcomplexitiesand
techniques, current steganalysis techniques become obsolete.
Themethodproposed in this entry represents adigital image in
a cellular-automata-based, two-dimensional array. Each cell
within this two-dimensional plane is examined for anomalies
presented by the process of steganography. The author
believes that the technique used here is statistically more
robust than other techniques presented thus far and is capable
of handling complex and chaotic steganographic algorithms.
MOTIVATION FOR RESEARCH
