FUG based intelligent query for audit database

Author

Xie, Li-xia ; Yang, Hong-yu ; Lu, Yi

Author_Institution

Sch. of Comput. Sci., Civil Aviation Univ. of China, Tianjin

Volume

5

fYear

2008

fDate

12-15 July 2008

Firstpage

2546

Lastpage

2550

Abstract

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.

Keywords

SQL; auditing; grammars; natural language processing; query processing; security of data; FUG based intelligent query; SQL query sentence; XML schema; audit database; feature structure; functional unification grammar; intrusion detection system; natural language process; transformation algorithm; vocabulary library; Cybernetics; Deductive databases; Intrusion detection; Learning systems; Libraries; Machine learning; Natural languages; Spatial databases; Vocabulary; XML; Audit database; Functional unification grammar; Natural language process; Query; XML;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620837

Filename

4620837