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APNOMS
2008
Springer
13 years 12 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
ICC
2007
IEEE
147views Communications» more  ICC 2007»
14 years 4 months ago
A Cooperative AIS Framework for Intrusion Detection
Abstract— We present a cooperative intrusion detection approach inspired by biological immune system principles and P2P communication techniques to develop a distributed anomaly ...
Katja Luther, Rainer Bye, Tansu Alpcan, Achim M&uu...
RAID
2005
Springer
14 years 3 months ago
Interactive Visualization for Network and Port Scan Detection
Many times, network intrusion attempts begin with either a network scan, where a connection is attempted to every possible destination in a network, or a port scan, where a connect...
Chris Muelder, Kwan-Liu Ma, Tony Bartoletti
ICNP
1998
IEEE
14 years 2 months ago
Statistical Anomaly Detection for Link-State Routing Protocols
The JiNao project at MCNC/NCSU focuses on detecting intrusions, especially insider attacks, against OSPF (Open Shortest Path First) routing protocol. This paper presents the imple...
D. Qu, Brain Vetter, Feiyi Wang, R. Narayan, Shyht...
TIFS
2008
154views more  TIFS 2008»
13 years 9 months ago
Data Fusion and Cost Minimization for Intrusion Detection
Abstract--Statistical pattern recognition techniques have recently been shown to provide a finer balance between misdetections and false alarms than the more conventional intrusion...
Devi Parikh, Tsuhan Chen