A novel approach for a Distributed Denial of Service Detection Engine

Siaterlis, C; Maglaris, B; Roris, P

dc.contributor.author	Siaterlis, C	en
dc.contributor.author	Maglaris, B	en
dc.contributor.author	Roris, P	en
dc.date.accessioned	2014-03-01T01:52:26Z
dc.date.available	2014-03-01T01:52:26Z
dc.date.issued	2003	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26618
dc.subject	bayesian estimator	en
dc.subject	Distributed Denial of Service	en
dc.subject	Intrusion Detection	en
dc.subject	Network Topology	en
dc.subject	Security Management	en
dc.subject	Theory of Evidence	en
dc.subject	Data Fusion	en
dc.subject	National Technical University of Athens	en
dc.title	A novel approach for a Distributed Denial of Service Detection Engine	en
heal.type	journalArticle	en
heal.publicationDate	2003	en
heal.abstract	In our present work we present some of the most popular data fusion algorithms that have inspired us to build an innovative Distributed De- nial of Service (DDoS) Detection Engine. Our approach is based on the mathematical ground of Dempster-Shafer's Theory of Evidence (D-S). Using a set of simple heuristics to feed our D-S inference engine we attempt to detect	en