HPL-2009-154Intelligent Security Data Analysis
Shen, Yun; Trevor, Martin; Bramhall, Pete
Keyword(s): security, data analysis, computation intelligence
Abstract: 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 then requires a granular solution which has a very significant impact on the design and implementation of intelligent information systems. Care is needed when information systems use fuzzy sets to model graded membership in soft categories - the fuzzy sets are not disjunctive possibility distributions, but must be interpreted conjunctively. This distinction is clarified theoretically in this paper and 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 behavior profiling, are demonstrated and discussed in this paper.
External Posting Date: July 6, 2009 [Abstract Only]. Approved for External Publication - External Copyright Consideration
Internal Posting Date: July 6, 2009 [Fulltext]