Logo des Repositoriums
 

Using positive and negative from immunology for detection of anomalies in a self-protecting middleware

dc.contributor.authorPietzowski, Andreas
dc.contributor.authorSatzger, Benjamin
dc.contributor.authorTrumler, Wolfgang
dc.contributor.authorUngerer, Theo
dc.contributor.editorHochberger, Christian
dc.contributor.editorLiskowsky, Rüdiger
dc.date.accessioned2019-06-12T12:32:09Z
dc.date.available2019-06-12T12:32:09Z
dc.date.issued2006
dc.description.abstractThe immune system of our body matured over millions of years and has proven ist functionality. In our research we are going to transfer techniques of a biological immune system to a computer based environment. Our goal is to design a self-protecting middleware which isn't vulnerable to malicious messages. First off this paper proposes an artificial immune system with negative and positive selection and evaluates optimal parameter settings. Our tests showded that the detection rate of unknown malicious messages can reach up to 99.6%. Further on we propose techniques to minimize the memory space needed for storing the antibodies and to speedup the time needed for detecting malicious messages. We obtained a space minimization by 30% and gained a speedup of 30 with execution time optimization.en
dc.identifier.isbn978-3-88579-187-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/23670
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2006 – Informatik für Menschen, Band 1
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-93
dc.titleUsing positive and negative from immunology for detection of anomalies in a self-protecting middlewareen
dc.typeText/Conference Paper
gi.citation.endPage168
gi.citation.publisherPlaceBonn
gi.citation.startPage161
gi.conference.date2.-6. Oktober 2006
gi.conference.locationDresden
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
GI-Proceedings-93-24.pdf
Größe:
291.95 KB
Format:
Adobe Portable Document Format