Data Mining Practical Machine Learning Tools and Techniques

Aspect] is a simple and practical aspect-oriented extension to Java With just a few new constructs, AspectJ provides support for modular implementation of a range of crosscutting concerns. In AspectJ's dynamic join point model, join points are well-defined points in the execution of the program; pointcuts are collections of join points; advice are special method-like constructs that can be attached to pointcuts; and aspects are modular units of crosscutting implementation, comprising pointcuts, advice, and ordinary Java member declarations. AspectJ code is compiled into standard Java bytecode. Simple extensions to existing Java development environments make it possible to browse the crosscutting structure of aspects in the same kind of way as one browses the inheritance structure of classes. Several examples show that AspectJ is powerful, and that programs written using it are easy to understand.

An overview of AspectJ

Digital watermarking is a key ingredient to copyright protection. It provides a solution to illegal copying of digital material and has many other useful applications such as broadcast monitoring and the recording of electronic transactions. Now, for the first time, there is a book that focuses exclusively on this exciting technology. Digital Watermarking covers the crucial research findings in the field: it explains the principles underlying digital watermarking technologies, describes the requirements that have given rise to them, and discusses the diverse ends to which these technologies are being applied. As a result, additional groundwork is laid for future developments in this field, helping the reader understand and anticipate new approaches and applications.

Digital Watermarking

National Institute of Standards and Technology における超伝導研究及び生活

The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

[서평]「Applied Cryptography」

It is our great pleasure to welcome you to the 1st ACM Workshop on Information Hiding and Multimedia Security, Montpellier, France, June 17-19, 2013.

For over a decade, two workshops have been shaping the landscape of research in multimedia security. On one hand, Information Hiding (aka. IH) was created in 1996 and focused on digital watermarking, steganography and steganalysis, anonymity and privacy, hard to intercept communications and covert/subliminal channels. On the other hand, the ACM Workshop on Multimedia and Security (aka. ACM MMSec) was initiated in 1998 and focused on data hiding, robust/perceptual hash, biometrics, video surveillance, and multimedia forensics. Key seminal works have been published in these two workshops and papers accepted for publication there attracted over 9,000 citations in total. Year after year, the two communities grew closer and the overlap between their respective scope got bigger. As a result, after 14 successful editions each, IH and ACM MMSec decided to merge in a single event in an attempt to establish synergies between the two communities while building on the reputation obtained over the years.

The 1st ACM Information Hiding and Multimedia Security Workshop (ACM IHMMSEC) is held at Montpellier, France, June 17-19, 2013. We hope that this first edition of this workshop, resulting from merging two long standing sustainable events, gives birth to an attractive research forum that will facilitate cross-fertilization of ideas among key stakeholders from academia, industry, practitioners and government agencies around the globe.

The call for papers attracted 74 submissions from Asia, South America, the United States, Africa, and Europe. The program committee accepted 27 papers (acceptance rate of 36%) that cover a variety of topics, including three invited talks and four special sessions. We hope that these proceedings will serve as a valuable reference for researchers.

Proceedings of the first ACM workshop on Information hiding and multimedia security

The increasing availability and distribution of multimedia technology has made the 
manipulation of digital images, videos or audio files easy. While this enables numerous
new applications, a certain loss of trust in digital media can be observed. In general,
there is no guarantee that a digital image "does not lie", i.e., that the image content
was not altered. To counteract this risk, fragile watermarks were proposed to protect the
integrity of digital multimedia objects. In high security applications, it is necessary to be
able to reconstruct the original object out of the watermarked version. This can be
achieved by the use of invertible watermarks. While traditional watermarking schemes
introduce some small non-invertible distortion in the digital content, invertible
watermarks can be completely removed from a watermarked work. 
In the past, the security of proposed image authentication schemes based on invertible
watermarks was only analyzed using ad-hoc methods and neglected the possibility of malicious
attacks, which aim at engineering a fake mark so that the attacked object appears to
be genuine. In this paper, we characterize and analyze possible malicious attacks against
watermark-based image authentication systems and explore the theoretical limits of previous
constructions with respect to their security.

Malicious attacks on media authentication schemes based on invertible watermarks

In the paper we extend an existing information fusion based audio steganalysis approach by three different kinds of
evaluations: The first evaluation addresses the so far neglected evaluations on sensor level fusion. Our results show that
this fusion removes content dependability while being capable of achieving similar classification rates (especially for
the considered global features) if compared to single classifiers on the three exemplarily tested audio data hiding
algorithms. The second evaluation enhances the observations on fusion from considering only segmental features to
combinations of segmental and global features, with the result of a reduction of the required computational complexity
for testing by about two magnitudes while maintaining the same degree of accuracy.
The third evaluation tries to build a basis for estimating the plausibility of the introduced steganalysis approach by
measuring the sensibility of the models used in supervised classification of steganographic material against typical
signal modification operations like de-noising or 128kBit/s MP3 encoding. Our results show that for some of the tested
classifiers the probability of false alarms rises dramatically after such modifications.

http://omen.cs.uni-magdeburg.de/itiamsl/cms/upload/Publikationen/ckraetzer/Audio_stego-spie2010-FINAL.pdf

Improvement of information fusion-based audio steganalysis

Inhaltsverzeichnis Inhaltsverzeichnis 1 Einleitung, Motivation und Überblick 1

Vertrauenswürdige und abgesicherte Langzeitarchivierung multimedialer Inhalte

The classification accuracy achieved in applied classification problems depends strongly on the choice of classifiers and, if a model based approach is chosen, on the quality of the model. In this paper, for a selected classification problem from the area of determination of the existence of hidden channels in audio data, the relevance of single features for model generation in a support vector machine based classification procedure is determined.Here we consider nine audio data hiding algorithms as well as an existing audio steganalysis approach. The goal is to sharpen the model used for classification by algorithm specific generation of the feature set used and thereby reducing its dimensionality while keeping the same degree of classification accuracy for hidden channel detection on audio data. We show that for a multi-genre audio test set the impact of feature space reduction is less severe than for a set containing only speech. The fractions of the feature space considered significant in the performed multi-genre and speech evaluations (best results for the percentage of the available feature space considered significant in the tests performed here: 37.4% and 54.5% respectively) are determined for different thresholds of considering a feature significant in single feature classification. A first evaluation on embedding domain distinction is performed, distinguishing between time- and frequency/wavelet-domain.The results for application specific steganalysis achieved here are compared to the results achieved in current image steganalysis schemes.

Jana Dittmann

Papers

Proceedings of the first ACM workshop on Information hiding and multimedia security

Malicious attacks on media authentication schemes based on invertible watermarks

Improvement of information fusion-based audio steganalysis

Vertrauenswürdige und abgesicherte Langzeitarchivierung multimedialer Inhalte

Impact of feature selection in classification for hidden channel detection on the example of audio data hiding