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» Intrusion Detection Using Sequences of System Calls
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IJNSEC
2006
132views more  IJNSEC 2006»
14 years 10 months ago
Alert Correlation for Extracting Attack Strategies
Alert correlation is an important technique for managing large the volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend ...
Bin Zhu, Ali A. Ghorbani
ANSS
2006
IEEE
15 years 4 months ago
USim: A User Behavior Simulation Framework for Training and Testing IDSes in GUI Based Systems
Anomaly detection systems largely depend on user profile data to be able to detect deviation from normal activity. Most of this profile data is based on commands executed by use...
Ashish Garg, Vidyaraman Sankaranarayanan, Shambhu ...
DIMVA
2009
14 years 11 months ago
On the Effectiveness of Software Diversity: A Systematic Study on Real-World Vulnerabilities
Abstract. Many systems have been introduced to detect software intrusions by comparing the outputs and behavior of diverse replicas when they are processing the same, potentially m...
Jin Han, Debin Gao, Robert H. Deng
RAID
1999
Springer
15 years 2 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
CN
2007
168views more  CN 2007»
14 years 10 months ago
Network anomaly detection with incomplete audit data
With the ever increasing deployment and usage of gigabit networks, traditional network anomaly detection based Intrusion Detection Systems (IDS) have not scaled accordingly. Most,...
Animesh Patcha, Jung-Min Park