Sciweavers

61 search results - page 1 / 13
» A Novel Signal-Based Approach to Anomaly Detection in IDS Sy...
Sort
View
ICANNGA
2009
Springer
201views Algorithms» more  ICANNGA 2009»
13 years 11 months ago
A Novel Signal-Based Approach to Anomaly Detection in IDS Systems
In this paper we present our original methodology, in which Matching Pursuit is used for networks anomaly and intrusion detection. The architecture of anomaly-based IDS based on si...
Lukasz Saganowski, Michal Choras, Rafal Renk, Wito...
TJS
2010
182views more  TJS 2010»
13 years 2 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
SECURWARE
2008
IEEE
13 years 11 months ago
ToLeRating UR-STD
A new emerging paradigm of Uncertain Risk of Suspicion, Threat and Danger, observed across the field of information security, is described. Based on this paradigm a novel approac...
Jan Feyereisl, Uwe Aickelin
AINA
2010
IEEE
12 years 8 months ago
A Novel Cross Layer Intrusion Detection System in MANET
— Intrusion detection System forms a vital component of internet security. To keep pace with the growing trends, there is a critical need to replace single layer detection techno...
Rakesh Shrestha, Kyong-Heon Han, Dong-You Choi, Se...
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 5 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan