Intrusion detection

dc.contributor.author	Denault, Michel	en
dc.contributor.author	Καραγιάννης, Δημήτρης	el
dc.contributor.author	Γκρίτζαλης, Δημήτριος	el
dc.contributor.author	Σπυράκης, Παύλος	el
dc.date.accessioned	2015-06-13T13:36:12Z
dc.date.available	2015-06-13T13:36:12Z
dc.date.issued	2015-06-13
dc.identifier.uri	http://hdl.handle.net/11400/15894
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.elsevier.com/	en
dc.subject	Intrusion detection
dc.subject	Malicious software
dc.subject	SECURENET system
dc.subject	Intent specification languages
dc.subject	Expert systems
dc.subject	neural networks
dc.subject	νευρωνικά δίκτυα
dc.subject	Έμπειρα συστήματα
dc.subject	SECURENET σύστημα
dc.subject	Κακόβουλο λογισμικό
dc.subject	Ανίχνευση εισβολής
dc.title	Intrusion detection	en
heal.type	journalArticle
heal.secondaryTitle	approach and performance issues of the securenet system	en
heal.classification	Science
heal.classification	Mathematics
heal.classification	Επιστήμη
heal.classification	Μαθηματικά
heal.classificationURI	http://zbw.eu/stw/descriptor/15685-2
heal.classificationURI	http://zbw.eu/stw/thsys/70269
heal.classificationURI	N/A-Επιστήμη
heal.classificationURI	N/A-Μαθηματικά
heal.keywordURI	http://lod.nal.usda.gov/12606
heal.identifier.secondary	doi:10.1016/0167-4048(91)90138-4
heal.language	en
heal.access	campus
heal.publicationDate	1994
heal.bibliographicCitation	DENAULT, M., KARAGIANNIS, D., GRITZALIS, D. & SPIRAKIS, P. (1994). Intrusion detection: approach and performance issues of the securenet system. Computers & Security. [online] 13 (6). p. 495-508. Available from: http://www.elsevier.com/[Accessed 15/04/2002]	en
heal.abstract	The first aim of this paper is to provide a comparison between the generic characteristics of the detection-by-appearance and the detection-by-behaviour models for malicious software intrusion detection, and thus to discuss the efficiency of intrusion detection systems based on AI technologies. We introduce the SECURENET system, an experimental intrusion detection intelligent system, which incorporates the use of expert systems, neural networks, and intent specification languages. The second goal is to present the basis of a reaction- time delay analysis for SECURENET in a typical WAN environment. Together with the proportion of attacks detected, reaction time is one of the main efficiency criteria of an intrusion detection system.	en
heal.publisher	Elsevier	en
heal.journalName	Computers & Security	en
heal.journalType	non peer-reviewed
heal.fullTextAvailability	true