In this paper, a new steganographic method that preserves the first-order statistics of the
cover is proposed. Suitable for the passive warden scenario, the proposed method is not …

In the computational biology community there are many biological cases that are considered
as multi-one-class classification problems. Examples include the classification of multiple …

We advocate Logistic Regression (LR) as an alternative to the Support Vector Machine
(SVM) classifiers commonly used in steganalysis. LR offers more information than traditional …

This paper presents an innovative active steganalysis algorithm for reversible data hiding
schemes based on histogram shifting. These schemes use histogram shifting to embed …

We present a combined measurement of R_b=Γ(Z→b̄b)/Γ(Z→hadrons) and the
semileptonic branching ratio of b quarks in Z decays, Br(b→ℓνX), using double-tag methods …

Acquiring the best image features that best distinguishes a stego and clean image is a
challenge in image steganalysis. Though higher order models acquire all these features …

In this tutorial, we introduce the basic theory behind Steganography and Steganalysis, and
present some recent algorithms and developments of these fields. We show how the existing …

The goal of forensic steganalysis is to detect the presence of embedded data and to
eventually extract the secret message. A necessary step towards extracting the data is …

In this paper, we present a scheme based on feature mining and neuro-fuzzy inference
system for detecting LSB matching steganography in grayscale images, which is a very …

Multi-class classification is an important and on-going research subject in machine learning
and data mining. In this paper, we propose a new support vector algorithm, called OC-K …