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CCS
2004
ACM
14 years 1 months ago
Testing network-based intrusion detection signatures using mutant exploits
Misuse-based intrusion detection systems rely on models of attacks to identify the manifestation of intrusive behavior. Therefore, the ability of these systems to reliably detect ...
Giovanni Vigna, William K. Robertson, Davide Balza...
PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...
ACSW
2006
13 years 9 months ago
Experiences in passively detecting session hijacking attacks in IEEE 802.11 networks
Current IEEE 802.11 wireless networks are vulnerable to session hijacking attacks as the existing standards fail to address the lack of authentication of management frames and net...
Rupinder Gill, Jason Smith, Andrew Clark
CORR
2004
Springer
146views Education» more  CORR 2004»
13 years 7 months ago
ANTIDS: Self-Organized Ant-based Clustering Model for Intrusion Detection System
: Security of computers and the networks that connect them is increasingly becoming of great significance. Computer security is defined as the protection of computing systems again...
Vitorino Ramos, Ajith Abraham
ACSAC
2006
IEEE
13 years 11 months ago
Specification-Based Intrusion Detection in WLANs
Wireless networking technologies based on the IEEE 802.11 series of standards fail to authenticate management frames and network card addresses and suffer from serious vulnerabili...
Rupinder Gill, Jason Smith, Andrew Clark