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» Outside the Closed World: On Using Machine Learning for Netw...
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AI
2008
Springer
14 years 4 hour ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...
JSW
2008
98views more  JSW 2008»
13 years 5 months ago
Towards a Collaborative and Systematic Approach to Alert Verification
With the menace of hackers increasing every day, even well administrated networks are vulnerable to attack. Therefore, securing network assets has become a significant issue for th...
Xuejiao Liu, Debao Xiao, Xi Peng
HT
2005
ACM
13 years 11 months ago
Information visualization for an intrusion detection system
— Spatial hypertext was developed from studies of how humans deal with information overflow particularly in situations where data needed to be interpreted quickly. Intrusion det...
James Blustein, Ching-Lung Fu, Daniel L. Silver
RAID
1999
Springer
13 years 10 months ago
IDS Standards: Lessons Learned to Date
: I will discuss two efforts to get Intrusion Detection Systems to work together - the Common Intrusion Detection Framework (CIDF), and the IETF's working group to develop an ...
Stuart Staniford-Chen
ICEIS
2008
IEEE
14 years 2 days ago
Next-Generation Misuse and Anomaly Prevention System
Abstract. Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and unauthorised remote use of computers. More accurately, depending on the kind of attack it...
Pablo Garcia Bringas, Yoseba K. Penya