IMC
2004
ACM
14 years 5 months ago
2004
ACM
Malicious traffic from self-propagating worms and denialof-service attacks constantly threatens the everyday operation of Internet systems. Defending networks from these threats d...
CIS
2005
Springer
14 years 5 months ago
2005
Springer
Computational intelligence has figured prominently in many solutions to the network intrusion detection problem since the 1990s. This prominence and popularity has continued in the...
CANS
2005
Springer
14 years 5 months ago
2005
Springer
Building on the concepts and the formal definitions of self, nonself, antigen, and detector introduced in the research of network intrusion detection, the dynamic evolution models...
HICSS
2005
IEEE
14 years 6 months ago
2005
IEEE
Modern Network Intrusion Detection Systems (NIDSs) maintain state that helps them accurately detect attacks. Because most NIDSs are signature-based, it is critical to update their...
ACSAC
2006
IEEE
14 years 6 months ago
2006
IEEE
Network Intrusion Detection Systems (NIDS) have become crucial to securing modern networks. To be effective, a NIDS must be able to counter evasion attempts and operate at or near...
OTM
2007
Springer
14 years 6 months ago
2007
Springer
Network intrusion detection has been generally dealt with using sophisticated software and statistical analysis, although sometimes it has to be done by administrators, either by d...
RSP
2007
IEEE
14 years 6 months ago
2007
IEEE
A widely used approach to avoid network intrusion is SNORT, an open source Network Intrusion Detection System (NIDS). This work describes SPP-NIDS, a architecture for intrusion de...
ICC
2007
IEEE
14 years 6 months ago
2007
IEEE
— Network Intrusion Detection Systems (NIDS) are more and more important for identifying and preventing the malicious attacks over the network. This paper proposes a novel cost-e...
DEXAW
2008
IEEE
14 years 6 months ago
2008
IEEE
Network Intrusion Detection Systems (NIDS) have the challenge to prevent network attacks and unauthorised remote use of computers. In order to achieve this goal, NIDS usually foll...
CCS
2009
ACM
14 years 7 months ago
2009
ACM
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...