DocumentCode :
2096093
Title :
A cluster process monitoring tool for intrusion detection: proof-of-concept
Author :
Yurcik, William ; Meng, Xin ; Koenig, Gregory A.
Author_Institution :
Nat. Center for Supercomput. Applications, Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear :
2004
fDate :
16-18 Nov. 2004
Firstpage :
427
Lastpage :
428
Abstract :
Large-scale commodity cluster systems are finding increasing deployment in academic, research, and commercial settings. As a direct result of this popularity, cluster systems are also under increasing security threats. Unfortunately, there have been no corresponding improvements in security tools that specifically address the unique needs of cluster security. The paper describes an ongoing research effort at the National Center for Supercomputing Applications to develop tools for managing cluster security via process monitoring. We describe an extensible architecture and present details of a prototype process monitoring tool focused on intrusion detection.
Keywords :
computerised monitoring; security of data; workstation clusters; cluster computing; cluster process monitoring tool; cluster security; commodity cluster systems; extensible architecture; intrusion detection; security tools; Communication system security; Computer architecture; Computer security; Computerized monitoring; Condition monitoring; Context; Data security; Information security; Intrusion detection; National security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks, 2004. 29th Annual IEEE International Conference on
ISSN :
0742-1303
Print_ISBN :
0-7695-2260-2
Type :
conf
DOI :
10.1109/LCN.2004.1
Filename :
1367258
Link To Document :
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