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» Data Mining for Intrusion Detection: Techniques, Application...
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SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
15 years 9 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
DIMVA
2006
15 years 1 months ago
Using Static Program Analysis to Aid Intrusion Detection
Abstract. The Internet, and in particular the world-wide web, have become part of the everyday life of millions of people. With the growth of the web, the demand for on-line servic...
Manuel Egele, Martin Szydlowski, Engin Kirda, Chri...
127
Voted
ICEIS
2008
IEEE
15 years 7 months 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
101
Voted
CORR
2010
Springer
123views Education» more  CORR 2010»
15 years 17 days ago
Integrating Innate and Adaptive Immunity for Intrusion Detection
Abstract. Network Intrusion Detection Systems (NIDS) monitor a network with the aim of discerning malicious from benign activity on that network. While a wide range of approaches h...
Gianni Tedesco, Jamie Twycross, Uwe Aickelin
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 26 days ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik