With the rapid development and popularity of information technology, criminals and mischievous computer users are given avenues to commit crimes and malicious activities. One of the commonly used tactics, called steganography, is to hide information under a cover media so that except participants, no one else knows the existence of such information. Many techniques have been proposed for hiding data in images, videos and audios, but there is not much research devoted to data hiding in the popular MS Office documents which have recently adopted Office Open XML (OOXML) format. In this research, we first focus on identifying several data hiding techniques for OOXML documents. Then, we design and develop a fast detection algorithm based on the unique internal structure of OOXML documents, which contains multiple XML files, by using multi-XML query technique. Experimental results show the proposed detection algorithm outperforms the traditional one in terms of detection speed and completeness, where performance is the key to success of detecting hidden data in OOXML documents due to the fact that millions of documents are generated and transferred over the internet every day. / UOIT

The thesis deals with a library for working with Office Open XML Files -- spreadsheet files --, with its analysis, suggested layout, and implementation. It includes a specification of a standard spreadsheet file and of ways of creating such files. Based on studied theory, a layout is suggested for a library for reading and recording data, and for implementation of such a library in the C# language, which offers interface suitable for working with this type of documents.

This thesis describes the type of documents named Office Open XML, which are commonly known as OpenXML. Basic properties of these documents as well as their structure are explained. There is also an introduction to other technologies such as DOM and XHTML beacause of their inevitability in realization. Program library is designed to read these documents, build a DOM structure for them and export it as a XHTML file.

This thesis describes the problems of storage and management of biological data, particularly of Haloalkane Dehalogenase enzymes. Furthermore, the thesis aims at project HADES (HAloalkane DEhalogenase databaSe) initiated by protein engineering group of Loschmidt Laboratories, Masaryk University in Brno. This is a project whose main goal is simply to store, preserve and display a wide variety of proteins data. The result of this work is a flexible database system allowing easy extensibility and maintainability, which is built on technologies Apache, PostgreSQL and PHP using the Zend Framework.