The aim of this bachelor thesis was to examine how the Swedish newspaper Aftonbladet represented the leading characters in the reporting about the murder of Yara Alnajjar. The questions examined were: How is Yara, the perpetrators and the municipality of Karlskrona represented in Aftonbladet? How is the relationship between the leading characters of the texts constructed? And what is the relationship between the characters and the audience?  To approach this we made a discourse analysis of ten texts from Aftonbladet, all related to the tragic series of events that costed Yara Alnajjar her life.  The result showed that Yara Alnajjar was represented as a classic victim-hero who’s only job was to be small, innocent, defenseless and to gather sympathy from the audience. And even though she had a different cultural background she became a part of “us”. The female perpetrator was, in contrast to the victim, represented as a mad non-woman. Discredited through her odd behaviour which contained both evil and sad moments. Next to her was the male perpetrator who, despite also being sentenced for the murder, gathered sympathy from the audience. As well as being represented as someone in the deep regret and sadness. The municipality of Karlskrona in return was both given blame for their non-actions and forgiven despite it, since Aftonbladet considered them to have tried to help.  We discovered that the media constructions in Aftonbladet were embedded with roles, archetypes and myths. It also showed that not everyone would fit into their roles so easily.

Tez (Tıpta Uzmanlık) - Süleyman Demirel Üniversitesi, Tıp Fakültesi, Kulak Burun Boğaz Anabilim Dalı, 2002. / Bibliyografya var.

Malicious software spreads really fast in the age of the Internet and it harms users and their data. Therefore, it is necessary to improve methods of how we deal with its analysis, so we can protect potential victims. This thesis deals with design and implementation of system for generating patterns out of executable files in cooperation with AVG Technologies. The goal of this work is to create a tool that generates a detection pattern from the set of binary files. This work further proposes new types of analyses for extraction of information out of executable files. Designed and implemented system is used in practice for analysis of new malicious code and it is integrated into the clustering system.

This work deals with the design of a phishing attack detection and classification tool. The work describes techniques and forms of phishing attacks and availible tools and techniques for phishing detection. Based on the analysis of existing tools a solution for file classification is proposed. Implemented tool handles input parsing and creation of input model. Model is based on hybrid analysis of input file and URL. Using the YARA tool, YARA rules are applied which are then used in creation of input classification. Analysis of input model and definition of classification rules is enabled by implemented YARA module. Implemented solution makes it possible to define YARA rules for phishing classification based on the structural properties of a phishing file and features of source URL.