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                                       Details van artikel 7 van 14 gevonden artikelen
 
 
  Fuzzy Aided Application Layer Semantic Intrusion Detection System - FASIDS
 
 
Titel: Fuzzy Aided Application Layer Semantic Intrusion Detection System - FASIDS
Auteur: S.Sangeetha
V.Vaidehi
Verschenen in: International journal of network security & its applications
Paginering: Jaargang 2 (2010) nr. 2 pagina's 39-56
Jaar: 2010
Inhoud: The objective of this is to develop a Fuzzy aided Application layer Semantic Intrusion Detection System (FASIDS) which works in the application layer of the network stack. FASIDS consist of semantic IDS and Fuzzy based IDS. Rule based IDS looks for the specific pattern which is defined as malicious. A non-intrusive regular pattern can be malicious if it occurs several times with a short time interval. For detecting such malicious activities, FASIDS is proposed in this paper. At application layer, HTTP traffic’s headerand payload are analyzed for possible intrusion. In the proposed misuse detection module, the semantic intrusion detection system works on the basis of rules that define variousapplication layer misuses that are found in the network. An attack identified by the IDS is based on a corresponding rule in the rule-base. An event that doesn’t make a ‘hit’ on the rule-base is given to a Fuzzy Intrusion Detection System (FIDS) for further analysis
Uitgever: Academy & Industry Research Collaboration Center (AIRCC) (provided by DOAJ)
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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