Title :
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
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;
Conference_Titel :
Availability, Reliability and Security, 2007. ARES 2007. The Second International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2775-2
DOI :
10.1109/ARES.2007.41
