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KDD
2002
ACM
109views Data Mining» more  KDD 2002»
16 years 2 days ago
Mining intrusion detection alarms for actionable knowledge
In response to attacks against enterprise networks, administrators increasingly deploy intrusion detection systems. These systems monitor hosts, networks, and other resources for ...
Klaus Julisch, Marc Dacier
APNOMS
2008
Springer
15 years 1 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
123
Voted
NSDI
2004
15 years 1 months ago
Constructing Services with Interposable Virtual Hardware
Virtual machine monitors (VMMs) have enjoyed a resurgence in popularity, since VMMs can help to solve difficult systems problems like migration, fault tolerance, code sandboxing, ...
Andrew Whitaker, Richard S. Cox, Marianne Shaw, St...
SAC
2004
ACM
15 years 5 months ago
Unsupervised learning techniques for an intrusion detection system
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Stefano Zanero, Sergio M. Savaresi
97
Voted
NIPS
1997
15 years 1 months ago
Intrusion Detection with Neural Networks
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is ...
Jake Ryan, Meng-Jang Lin, Risto Miikkulainen