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SIGMOD
2001
ACM
166views Database» more  SIGMOD 2001»
16 years 2 months ago
ADAM: A Testbed for Exploring the Use of Data Mining in Intrusion Detection
Intrusion detection systems have traditionally been based on the characterization of an attack and the tracking of the activity on the system to see if it matches that characteriz...
Daniel Barbará, Julia Couto, Sushil Jajodia, Ning...
98
Voted
COMPSAC
2009
IEEE
15 years 6 months ago
A Framework for Cost Sensitive Assessment of Intrusion Response Selection
Abstract—In recent years, cost-sensitive intrusion response has gained significant interest, mainly due to its emphasis on the balance between potential damage incurred by the i...
Chris Strasburg, Natalia Stakhanova, Samik Basu, J...
VIIP
2001
15 years 3 months ago
Visual Behavior Characterization for Intrusion Detection in Large Scale Systems
This work focuses on the visual representation of relations towards aiding the exploration and analysis of network intrusions. Fundamentally, the visual representations aid an ana...
Robert F. Erbacher
IJCNN
2000
IEEE
15 years 6 months ago
Applying CMAC-Based On-Line Learning to Intrusion Detection
The timely and accurate detection of computer and network system intrusions has always been an elusive goal for system administrators and information security researchers. Existin...
James Cannady
IRI
2005
IEEE
15 years 7 months ago
Exploiting efficient data mining techniques to enhance intrusion detection systems
- Security is becoming a critical part of organizational information systems. Intrusion Detection System (IDS) is an important detection that is used as a countermeasure to preserv...
Chang-Tien Lu, Arnold P. Boedihardjo, Prajwal Mana...