IH&MMSEC

Learning to discriminate between secure and hostile patterns is a crucial problem for species to survive in nature. Mimetism and camouflage are well-known examples of evolving weapons and defenses in the arms race between predators and preys. It is thus ...

The work done by researchers in the field, on multimedia security, is laying the foundations for increasing the capabilities of the community of forensic practitioners. However, very often there is a big gap between what is studied at the research level ...

When creating a forgery, a forger can modify an image using many different image editing operations. Since a forensic examiner must test for each of these, significant interest has arisen in the development of universal forensic algorithms capable of ...

We address the known problem of detecting a previous compression in JPEG images, focusing on the challenging case of high and very high quality factors (>= 90) as well as repeated compression with identical or nearly identical quality factors. We first ...

Digital fingerprinting codes are embedded to licenced digital contents for preventing illegal distribution by colluders. Digital fingerprinting codes are usually required to have the ability to specify a part (or all) of the colluders with high ...

Histogram-shifting (HS) embedding as a most successful reversible data hiding (RDH) scheme is widely investigated. How to take advantage of covers' redundancyis one of the key issues for performance improvement of RDH. Among them, sorting technique isof ...

In this paper, based on the principle of Code Division Multiple Access (CDMA), a novel reversible data hiding scheme is presented. The to-be-embedded data are represented by different orthogonal spreading sequences and embedded into a cover image while ...

The field of genomic research has considerably grown in the recent years due to the unprecedented advances brought about by Next Generation Sequencing (NGS) and the need and increasing widespread use of outsourced processing. But this rapid increase ...

This paper describes an approach where group testing helps in enforcing security and privacy in identification. We detail a particular scheme based on embedding and group testing. We add a second layer of defense, group vectors, where each group vector ...

Collaborative filtering is a popular technique for recommendation system due to its domain independence and reliance on user behavior data alone. But the possibility of identification of users based on these personal data raise privacy concerns. ...

Cloud computing platforms are becoming increasingly prevalent and readily available nowadays, providing us alternative and economic services for resource-constrained clients to perform large-scale computation. In this work, we address the problem of ...

We study a sensor network setting in which samples are encrypted individually using different keys and maintained on a cloud storage. For large systems, e.g. those that generate several millions of samples per day, fine-grained sharing of encrypted ...

We present the first complexity-theoretic secure steganographic protocol which, for any communication channel, is provably secure, reliable, and has nearly optimal bandwidth. Our system is unconditionally secure, i.e. our proof does not rely on any ...

At present, almost all leading steganographic techniques for still images use a distortion minimization paradigm, where each potential change is assigned a cost c_i and the change probabilities π_i chosen to minimize the average total cost ∑_iπ_ic_i. However,...

There has been growing interest in using convolutional neural networks (CNNs) in the fields of image forensics and steganalysis, and some promising results have been reported recently. These works mainly focus on the architectural design of CNNs, ...

This article deals with color images steganalysis based on machine learning. The proposed approach enriches the features from the Color Rich Model by adding new features obtained by applying steerable Gaussian filters and then computing the co-...

New viewpoints of covert channels are presented in this work. First, the origin of covert channels is traced back to acc ess control and a new class of covert channel, air-gap covert channels, is presented. Second, we study the design of covert channels ...

This paper presents an effective motion vector (MV)-based steganography to cope with different steganalytic models. The main principle is to define a distortion scale expressing the multi-level embedding impact of MV modification. Three factors ...

In this paper, we present a new kind of near-optimal double-layered syndrome-trellis codes (STCs) for spatial domain steganography. The STCs can hide longer message or improve the security with the same-length message comparing to the previous double-...

Explicit non-linear transformations of existing steganalysis features are shown to boost their ability to detect steganography in combination with existing simple classifiers, such as the FLD-ensemble. The non-linear transformations are learned from a ...

The manufacturer of an asymmetric backdoor for a public key cryptosystem manipulates the key generation process in such a way that he can extract the private key or other secret information from the user's public key by involving his own public/private ...

We propose a new protection scheme for displaying a static binary image on a screen. The protection is achieved by a visual cryptography algorithm that divides the target images into several divisions. The visual difference between the text and the ...

In this paper we present a metric for visual security evaluation of encrypted images, also known as visual security metric. Such a metric should be able to assess whether an image encryption method is secure or not. In order to consider intelligibility ...

Recombined fingerprinting has been recently proposed as a scalable alternative to the traditional client-server model for anonymous fingerprinting. In recombined fingerprinting, the contents are distributed in P2P fashion from a few seed nodes to the ...

In this paper, we apply verifiable computing techniques to a biometric matching. The purpose of verifiable computation is to give the result of a computation along with a proof that the calculations were correctly performed. We adapt a protocol called ...

In this paper, we show that, using the encryption algorithm of He et al., it is possible to ensure privacy protection for JPEG content on several widely used image-sharing platforms (e.g., Flickr, Pinterest, Google+ and Twitter).

We propose to utilize the prediction-error of prediction error (PPE) of a pixel to reversibly carry the secret data in this letter. In the proposed method, the pixels to be embedded are firstly predicted with their neighboring pixels to obtain the ...