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RAID
1999
Springer
13 years 11 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
ANSS
2006
IEEE
14 years 1 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 ...
ACSAC
2005
IEEE
14 years 20 days ago
Securing Email Archives through User Modeling
Online email archives are an under-protected yet extremely sensitive information resource. Email archives can store years worth of personal and business email in an easy-to-access...
Yiru Li, Anil Somayaji
CN
2007
168views more  CN 2007»
13 years 7 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
SP
2007
IEEE
107views Security Privacy» more  SP 2007»
14 years 1 months ago
Lurking in the Shadows: Identifying Systemic Threats to Kernel Data
The integrity of kernel code and data is fundamental to the integrity of the computer system. Tampering with the kernel data is an attractive venue for rootkit writers since malic...
Arati Baliga, Pandurang Kamat, Liviu Iftode