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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
IEEEIAS
2009
IEEE
14 years 2 months ago
Fuzzy Intrusion Detection System via Data Mining Technique with Sequences of System Calls
: There are two main approaches for implementing IDS; Host based and Network based. While the former is implemented in form of software deployed on a host, the latter, usually is b...
Mohammad Akbarpour Sekeh, Mohd. Aizani Bin Maarof
CRITIS
2007
13 years 9 months ago
A Malware Detector Placement Game for Intrusion Detection
We propose and investigate a game-theoretic approach to the malware filtering and detector placement problem which arises in network security. Our main objective is to develop opt...
Stephan Schmidt, Tansu Alpcan, Sahin Albayrak, Tam...
SEC
1996
13 years 9 months ago
Intention modelling: approximating computer user intentions for detection and prediction of intrusions
This paper introduces and describes an innovative modelling approach which utilises models that are synthesised through approximate calculations of user actions and extensive repr...
Thomas Spyrou, John Darzentas
CCS
2010
ACM
13 years 8 months ago
Dialog-based payload aggregation for intrusion detection
Network-based Intrusion Detection Systems (IDSs) such as Snort or Bro that have to analyze the packet payload for all the received data show severe performance problems if used in...
Tobias Limmer, Falko Dressler