Title :
A Novel IDS Model Based on a Bayesian Fusion Approach
Author :
Xu Ye ; Zhang Wen-bo
Author_Institution :
Coll. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Abstract :
A novel IDS model based on Bayesian fusion approach is studied in this paper. The model comprises several parts such as the pixel level fusion, feature level fusion, decision-making level fusion and so on. Experiments show that the model could result in a better recognition of attacks through processing procedures including noise reduction, feature extraction, inference and decision-making.
Keywords :
Bayes methods; decision making; feature extraction; image fusion; security of data; Bayesian fusion approach; IDS model; decision-making level fusion; feature extraction; feature level fusion; noise reduction; pixel level fusion; Bayesian methods; Computer networks; Computer security; Costs; Data analysis; Data privacy; Data security; Decision making; Intrusion detection; Statistics; Bayesian networks; IDS; Information fusion;
Conference_Titel :
Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-0-7695-3843-3
Electronic_ISBN :
978-1-4244-5068-8
DOI :
10.1109/MINES.2009.300
