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」

Security, Forensics, Steganography, and Watermarking of Multimedia Contents X

This paper discusses the possibility to perform a forensic behavior analysis on the network recordings of video conferences in order to identify different activities taking part during such conferencing. This behavior analysis is based on the audioand video streams of such software. While the connections are usually encrypted, the possibility of using and deriving heuristic metadata from the encrypted stream in order to identify various activities (use cases) is explored. This paper shows first results of such an approach to identify various activities, which could then be used to construct a biometric pattern. Furthermore, a model for communication flows during video conferences is introduced, formalizing which specific data can be gathered at various points by an observer. A first case study employs a set of four different test cases applied to two different solutions for video conferencing. Keywords—Security, Video conferencing, Zoom, Big Blue Button, User and traffic profiling, Network forensics.

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Forensic Behavior Analysis in Video Conferencing Based on the Metadata of Encrypted Audio and Video Streams - Considerations and Possibilities

To benefit from new opportunities offered by the digitalization of forensic disciplines, the challenges especially w.r.t. comprehensibility and searchability have to be met. Important tools in this forensic process are databases containing digitized representations of physical crime scene traces. We present ForeMan, an extensible database system for digitized forensics handling separate databases and enabling intra and inter trace type searches. It now contains 762 fiber data sets and 27 fingerprint data sets (anonymized time series). Requirements of the digitized forensic process model are mapped to design aspects and conceptually modeled around benchmarking properties. A fiber categorization scheme is used to structure fiber data according to forensic use case identification. Our research extends the benchmarking properties by fiber fold shape derived from the application field of fibers (part of micro traces) and sequence number derived from the application field of time series analysis for fingerprint aging research. We identify matching data subsets from both digitized trace types and introduce the terms of entity-centered and spatial-centered information. We show how combining two types of digitized crime scene traces (fiber and fingerprint data) can give new insights for research and casework and discuss requirements for other trace types such as firearm and toolmarks.

ForeMan, a Versatile and Extensible Database System for Digitized Forensics Based on Benchmarking Properties

With the evolution of cars into complex electronic-mechanical systems and related increasing relevance of electronic manipulation and malicious attacks on automotive IT, Security warnings are becoming also more important. This paper presents the findings regarding the potential effect of IT security warnings in vehicles. Different warning approaches were designed and analyzed in driving simulator tests, based upon three representative IT security threats and three variations of the information quantity and recommended action. The potential effect of these warnings was measured using three scenarios, including the simulated consequences, e.g. sudden swerve of vehicle. We analyzed the implications on drivers reaction, task performance, thoughts and emotions to derive the stress level. We found a positive effect of given recommendations due to the lack of security awareness in automotive IT, accompanied by a high variety of warnings cause interpretations. Especially without given recommendation a higher rate of ignorance was observed, leading to accidents.

Jana Dittmann

Papers

Security, Forensics, Steganography, and Watermarking of Multimedia Contents X

Forensic Behavior Analysis in Video Conferencing Based on the Metadata of Encrypted Audio and Video Streams - Considerations and Possibilities

ForeMan, a Versatile and Extensible Database System for Digitized Forensics Based on Benchmarking Properties

Simulation of Automotive Security Threat Warnings to Analyze Driver Interpretations and Emotional Transitions

Robust MPEG video copyright protection technology