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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 7 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
CSREASAM
2010
13 years 4 months ago
Modeling NIDS Evasion with Genetic Programming
Nowadays, Network Intrusion Detection Systems are quickly updated in order to prevent systems against new attacks. This situation has provoked that attackers focus their efforts on...
Sergio Pastrana, Agustín Orfila, Arturo Rib...
CCS
2010
ACM
13 years 7 months ago
AccessMiner: using system-centric models for malware protection
Models based on system calls are a popular and common approach to characterize the run-time behavior of programs. For example, system calls are used by intrusion detection systems...
Andrea Lanzi, Davide Balzarotti, Christopher Krueg...
IPPS
2007
IEEE
14 years 1 months ago
Peak-Performance DFA-based String Matching on the Cell Processor
The security of your data and of your network is in the hands of intrusion detection systems, virus scanners and spam filters, which are all critically based on string matching. ...
Daniele Paolo Scarpazza, Oreste Villa, Fabrizio Pe...
IJNSEC
2008
115views more  IJNSEC 2008»
13 years 7 months ago
Improving Security Through Analysis of Log Files Intersections
The paper discusses our research in development of general and systematic methods for intrusion prevention. The key idea is to use data mining techniques to discover repeated patt...
Kazimierz Kowalski, Mohsen Beheshti