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» Mining Audit Data to Build Intrusion Detection Models
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APNOMS
2008
Springer
13 years 7 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
SIGMOD
2001
ACM
166views Database» more  SIGMOD 2001»
14 years 5 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...
SIGSOFT
2011
ACM
13 years 12 days ago
Modeling a distributed intrusion detection system using collaborative building blocks
Developing complex distributed systems is a non-trivial task. It is even more difficult when the systems need to dynamically reconfigure the distributed functionalities or tasks...
Linda Ariani Gunawan, Michael Vogel, Frank Alexand...
WEBI
2009
Springer
14 years 2 days ago
Data Mining for Malicious Code Detection and Security Applications
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
Bhavani M. Thuraisingham
ISSADS
2005
Springer
13 years 11 months ago
On the Role of Information Compaction to Intrusion Detection
An intrusion detection system (IDS) usually has to analyse Giga-bytes of audit information. In the case of anomaly IDS, the information is used to build a user profile characteris...
Fernando Godínez, Dieter Hutter, Raul Monro...