Although there have been encouraging breakthroughs in supervised learning since the
renaissance of deep learning, the recognition of large-scale object classes remains a …

This paper proposes a steganalysis technique for both grayscale and color images. It uses
the feature vectors derived from gray level co-occurrence matrix (GLCM) in spatial domain …

Authentication of audio signals is an important problem in multimedia forensics. Tampering
is typically followed by postprocessing that aims to remove the traces of the forgery. The …

The steganalysis process comprises of two major components feature extraction and
classification based on the extracted features. The high dimension of feature sets used for …

This paper proposes a method for the detection of the Least Significant Bit (LSB)
steganography using images as cover objects. Steganography methods attempt to insert …

In the context of on-line assessment in E-learning a problem arises is that someone taking
an exam may wish to cheat by handing over personal credentials to someone to take their …

The process of steganalysis involves feature extraction and classification based on feature
sets. The high dimension of feature sets used for steganalysis makes classification a …

We present an image forensics method to detect least significant bit replacement
steganography attack. The proposed method provides fine-grained forensics features by …

Feature extraction and classification based on feature sets are two major components of
steganalysis process. The high dimension of feature sets used for steganalysis makes …

This paper presents the design and implementation of StegTrack, a novel proactive
steganalysis tool. StegTrack is an antivirus like tool to track steganograms among images on …