Title
Network-based Intrusion Detection-Modeling for a Larger Picture
Abstract
The Internet is changing computing more than ever before. As the possibilities and the scopes are limitless, so too are the risks and chances of malicious intrusions. Due to the increased connectivity and the vast spectrum of financial possibilities, more and more systems are subject to attack by intruders. One of the commonly used method for intrusion detection is based on anomaly. Network based attacks may occur at various levels, from application to link levels. So the number of potential attackers or intruders are extremely large and thus it is almost impossible to "profile" entities and detect intrusions based on anomalies in host-based profiles. Based on meta-information, logical groupings has been made for the alerts that belongs to same logical network, to get a clearer and boarder view of the perpetrators. To reduce the effect of probably insignificant alerts a threshold technique is used.
Year
Venue
Keywords
2002
LISA
potential attacker,logical network,financial possibility,network-based intrusion detection-modeling,threshold technique,malicious intrusion,larger picture,intrusion detection,increased connectivity,boarder view,host-based profile,logical grouping,spectrum
Field
DocType
Citations 
Computer science,Computer security,Intrusion prevention system,Anomaly-based intrusion detection system,Logical network,Intrusion detection system,The Internet
Conference
0
PageRank 
References 
Authors
0.34
6
6
Name
Order
Citations
PageRank
atsushi totsuka100.34
hidenari ohwada200.34
nobuhisa fujita300.34
Debasish Chakraborty47711.66
Glenn Mansfield-Keeni5348.44
Norio Shiratori6818137.59