Title :
A distributed network intrusion detection system architecture based on computer stations using GPGPU
Author :
Vokorokos, Liberios ; Ennert, M. ; Cajkovsky, M. ; Turinska, A.
Author_Institution :
Dept. of Comput. & Inf., Tech. Univ. of Kosice, Kosice, Slovakia
Abstract :
This article deals with the proposal of distributed parallel network system architecture for intrusion detection. The aim is to design model of architecture that will be used for searching, detecting and analyzing intrusions. This proposal of detection system in network will use enormous performance of the GPGPU high-parallel data computing technology which can substitute the most complicated part of the intrusion detection process in NIDS. The model is highly scalable and allows the usage of several most recent trends in the IDS field with GPGPU support. Due to the fast attacks reaction system analyzes all the data in different formats in whole set of attacks and system alerts.
Keywords :
graphics processing units; parallel processing; security of data; GPGPU high-parallel data computing technology; IDS field; NIDS; computer stations; distributed network intrusion detection system architecture; distributed parallel network system architecture; fast attacks reaction system; intrusion search; system alerts; Computational modeling; Computer architecture; Graphics processing units; Hardware; Intrusion detection; Synchronization;
Conference_Titel :
Intelligent Engineering Systems (INES), 2013 IEEE 17th International Conference on
Conference_Location :
San Jose
Print_ISBN :
978-1-4799-0828-8
DOI :
10.1109/INES.2013.6632834
