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IEEEARES
2006
IEEE
15 years 3 months ago
Identifying Intrusions in Computer Networks with Principal Component Analysis
Most current anomaly Intrusion Detection Systems (IDSs) detect computer network behavior as normal or abnormal but cannot identify the type of attacks. Moreover, most current intr...
Wei Wang, Roberto Battiti
ICIAP
2005
ACM
15 years 9 months ago
Analyzing TCP Traffic Patterns Using Self Organizing Maps
The continuous evolution of the attacks against computer networks has given renewed strength to research on anomaly based Intrusion Detection Systems, capable of automatically dete...
Stefano Zanero
CORR
2010
Springer
135views Education» more  CORR 2010»
14 years 9 months ago
Fuzzy Aided Application Layer Semantic Intrusion Detection System - FASIDS
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 ...
S. Sangeetha, V. Vaidehi
COMCOM
2007
98views more  COMCOM 2007»
14 years 9 months ago
Anomaly detection in TCP/IP networks using immune systems paradigm
The paper presents an architecture of an anomaly detection system based on the paradigm of artificial immune systems (AISs). Incoming network traffic data are considered by the s...
Franciszek Seredynski, Pascal Bouvry
RAID
2000
Springer
15 years 1 months ago
A Real-Time Intrusion Detection System Based on Learning Program Behavior
Abstract. In practice, most computer intrusions begin by misusing programs in clever ways to obtain unauthorized higher levels of privilege. One e ective way to detect intrusive ac...
Anup K. Ghosh, Christoph C. Michael, Michael Schat...