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KBSE
2005
IEEE
13 years 11 months ago
Designing and implementing a family of intrusion detection systems
Intrusion detection systems are distributed applications that analyze the events in a networked system to identify malicious behavior. The analysis is performed using a number of ...
Richard A. Kemmerer
ACSAC
2005
IEEE
13 years 11 months ago
Exploiting Independent State For Network Intrusion Detection
Network intrusion detection systems (NIDSs) critically rely on processing a great deal of state. Often much of this state resides solely in the volatile processor memory accessibl...
Robin Sommer, Vern Paxson
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 2 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
KDD
1997
ACM
184views Data Mining» more  KDD 1997»
13 years 9 months ago
JAM: Java Agents for Meta-Learning over Distributed Databases
In this paper, we describe the JAM system, a distributed, scalable and portable agent-based data mining system that employs a general approach to scaling data mining applications ...
Salvatore J. Stolfo, Andreas L. Prodromidis, Shell...
DATAMINE
2006
164views more  DATAMINE 2006»
13 years 5 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...