DocumentCode
2268935
Title
An Autonomic Intrusion Detection System Based on Behavioral Network Engineering
Author
Mazzariello, Claudio ; Oliviero, Francesco
Author_Institution
Dipt. di Inf. e Sist., Univ. of Napoli "Federico II ", Naples
fYear
2006
fDate
23-29 April 2006
Firstpage
1
Lastpage
2
Abstract
As network infrastructures become more and more complex, network protection, accordingly, becomes a harder and harder task to fulfil. In order to cope with the frequent changes in the monitored scenarios, we propose a system which, by observing users´ behaviors and auditing the security status of the network, exploits grid services in order to correctly deploy the required security modules, aimed at assuring a prescribed security level.
Keywords
behavioural sciences computing; security of data; telecommunication computing; telecommunication security; telecommunication services; autonomic intrusion detection; behavioral network engineering; grid services; security; Computer crime; Data engineering; Data mining; Engineering management; Face detection; Information security; Intrusion detection; Real time systems; Resource management; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM 2006. 25th IEEE International Conference on Computer Communications. Proceedings
Conference_Location
Barcelona
ISSN
0743-166X
Print_ISBN
1-4244-0221-2
Type
conf
DOI
10.1109/INFOCOM.2006.85
Filename
4146738
Link To Document