FUG BASED INTELLIGENT QUERY FOR AUDIT DATABASE

摘要：

This paper presents an intelligent query approach to intrusion detection system (IDS). In this approach, functional unification grammar (FUG) of natural language process (NLP) was utilized in intelligent query for IDS audit database. The XML schema was used to describe vocabulary library including word, phrase, symbol and all kinds of predefined rule. Meanwhile the feature structure was used to describe the structure of vocabulary, phrase and sentence. The transformation algorithm from object tree to SQL query sentence was designed. The experimental results demonstrate that FUG is effective to query operation of IDS audit database.

关键词： Audit database Natural language process Functional unification grammar Query XML

作者: LI-XIA XIE HONG-YU YANG YI LU

作者单位: School of Computer Science, Civil Aviation University of China, Tianjin 300300, China School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore, 637616, S

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2546-2550

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）