IH&MMSEC

At the first Information Hiding Workshop in 1996 we tried to clarify the models and assumptions behind information hiding. We agreed the terminology of cover text and stego text against a background of the game proposed by our keynote speaker Gus ...

With the widespread diffusion of powerful media editing tools, falsifying images and videos has become easier and easier in the last few years. Fake multimedia, often used to support fake news, represents a growing menace in many fields of life, notably ...

Recent studies have shown that the non-additive distortion model of Decomposing Joint Distortion ($DeJoin$) can work well for spatial image steganography by defining joint distortion with the principle of Synchronizing Modification Directions (SMD). ...

This short paper investigates the influence of the image processing pipeline (IPP) on the cover-source mismatch (CSM) for the popular JPHide steganographic scheme. We propose to deal with CSM by combining a forensics and a steganalysis approach. A multi-...

This paper makes the first attempt to achieve content-adaptive H.264 steganography with the quantised discrete cosine transform (QDCT) coefficients in intra-frames. Currently, state-of-the-art JPEG steganographic schemes embed their payload while ...

The electroencephalogram (EEG) was introduced as a method for the generation of biometric templates. So far, most research focused on the optimisation of the enrolment and authentication, and it was claimed that the EEG has many advantages. However, it ...

Generative Adversarial Network (GAN) is a prominent generative model that are widely used in various applications. Recent studies have indicated that it is possible to obtain fake face images with a high visual quality based on this novel model. If ...

A morphed face image in a photo ID is a serious threat to image-based user verification enabling that multiple persons could be matched with the same document. The application of machine-readable travel documents (MRTD) at automated border control (ABC) ...

This paper presents an effective steganalytic scheme based on CNN for detecting MP3 steganography in the entropy code domain. These steganographic methods hide secret messages into the compressed audio stream through Huffman code substitution, which ...

Deep neural network based steganalysis has developed rapidly in recent years, which poses a challenge to the security of steganography. However, there is no steganography method that can effectively resist the neural networks for steganalysis at ...

To reduce the tampering artifacts and/or enhance audio quality, some audio processing operations are often applied in the resulting tampered audio. Like image forensics, the detection of various post processing operations has become very important for ...

Recently, deep learning researchers have developed a technique known as deep features in which feature extractors for a task are learned by a CNN. These features are then provided to another classifier, or even used to perform a different classification ...

In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the segmentation-based multi-scale analysis to locate tampered areas in digital images. First, to deal with color input sliding windows of different scales, we adopt a unified ...

Multiple-purpose forensics has been attracting increasing attention worldwide. However, most of the existing methods based on hand-crafted features often require domain knowledge and expensive human labour and their performances can be affected by ...

This paper proposes an effective intra-frame prediction mode (IPM)-based video steganography in HEVC to maintain rate-distortion optimization as well as improve empirical security. The unique aspect of this work and one that distinguishes it from prior ...

Leading steganography systems make use of the Syndrome-Trellis Code (STC) algorithm to minimize a distortion function while encoding the desired payload, but this constrains the distortion function to be additive. The Gibbs Embedding algorithm works for ...

Contemporary steganography in digital media is dominated by the framework of additive distortion minimization: every possible change is given a cost, and the embedder minimizes total cost using some variant of the Syndrome-Trellis Code algorithm. One ...

Shortly, within the member states of the European Union a serialization-based anti-counterfeiting system for pharmaceutical products will be introduced. This system requires a third party enabling to track serialized and enrolled instances of each ...

Contrary to popular belief, the paperless office has not yet established itself. Printer forensics is therefore still an important field today to protect the reliability of printed documents or to track criminals. An important task of this is to ...

From literature it is known that full-reference visual quality indices are a poor fit for the estimation of visual security for selective encryption. The question remains whether no-reference visual quality indices can perform where full reference ...