Intelligent Security Data Analysis

In this paper, we examine issues related to the research and applications of computational intelligence techniques in security data analysis. We focus on solve problems that involve incomplete, vague or uncertain information, which is difficult to come to a crisp solution. It is shown how an extended mass assignment framework can be used to extract relations between soft categories. These relations are association rules and are useful when integrating multiple information sources. Experimental results on terrorism incident databases and Web search logs, respectively relating to national security and user behaviour profiling, are demonstrated and discussed in this paper.