Applying a Flexible Mining Architecture to Intrusion Detection

Author

Castellano, Marcello ; Mastronardi, Giuseppe ; Aprile, Angela ; De Grecis, Giuliano Bellone ; Fiorino, Flaviano

Author_Institution

Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari

fYear

2007

fDate

10-13 April 2007

Firstpage

845

Lastpage

852

Abstract

Data mining is becoming a pervasive technology in several activities as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. In this paper we adopt a reference flexible mining architecture able to discover knowledge in a distributed and heterogeneous environment. In the context of security, the information we are seeking is the knowledge of whether a security breach has been experienced, and if the answer is yes, who is the perpetrator. To this purpose, the guide lines of the service oriented architecture, SOA, and the orchestration model have been considered as a way to realize our proposal of knowledge discovery process to intrusion detection

Keywords

data mining; security of data; software architecture; ubiquitous computing; data mining; flexible mining architecture; intrusion detection; knowledge discovery; pervasive technology; security breach; service oriented architecture; Business; Data analysis; Data mining; Data security; Databases; Information security; Intrusion detection; Mining industry; Pattern analysis; Service oriented architecture;

fLanguage

English

Publisher

ieee

Conference_Titel

Availability, Reliability and Security, 2007. ARES 2007. The Second International Conference on

Conference_Location

Vienna

Print_ISBN

0-7695-2775-2

Type

conf

DOI

10.1109/ARES.2007.41

Filename

4159883