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» Intrusion Detection Based on Data Mining
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RAID
1999
Springer
15 years 4 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
15 years 1 months ago
Service-independent payload analysis to improve intrusion detection in network traffic
The popularity of computer networks broadens the scope for network attackers and increases the damage these attacks can cause. In this context, Intrusion Detection Systems (IDS) a...
Iñigo Perona, Ibai Gurrutxaga, Olatz Arbela...
AINA
2010
IEEE
14 years 3 months ago
A Novel Cross Layer Intrusion Detection System in MANET
— Intrusion detection System forms a vital component of internet security. To keep pace with the growing trends, there is a critical need to replace single layer detection techno...
Rakesh Shrestha, Kyong-Heon Han, Dong-You Choi, Se...
ACSAC
1998
IEEE
15 years 4 months ago
An Architecture for Intrusion Detection Using Autonomous Agents
The Intrusion Detection System architectures commonly used in commercial and research systems have a number of problems that limit their configurability, scalability or efficiency...
J. S. Balasubramaniyan, J. O. Garcia-Fernandez, D....
RAID
1999
Springer
15 years 4 months ago
Improving Intrusion Detection Performance using Keyword Selection and Neural Networks
The most common computer intrusion detection systems detect signatures of known attacks by searching for attack-specific keywords in network traffic. Many of these systems suffer ...
Richard Lippmann, Robert K. Cunningham