Steganalysis Techniques: A Systematic Review
Abstract
World at present is full of data. Data plays a major role in all aspects in development in any field, future predictions, decision making etc. Securing data is very important not only to avoid breaches but also to shield the confidential messages. There comes the concept of Steganography. Steganography is the art of covering data up under an ordinary text or image or video. When steganography is misused by hiding malware in safe files, there comes the art of detecting steganography called Steganalysis. Some known methods in Steganalysis are Stego-only, Known cover, Known message, Chosen stego and lastly Chosen message attacks. This work presents a survey on recent trends in steganography and use of machine learning algorithms in steganalysis.
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