Data Mining Methods for Detection of New Malicious Executables
SP '01 Proceedings of the 2001 IEEE Symposium on Security and Privacy
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Locality: a new paradigm for thinking about normal behavior and outsider threat
Proceedings of the 2003 workshop on New security paradigms
Behavior-based modeling and its application to Email analysis
ACM Transactions on Internet Technology (TOIT)
Comparison of feature selection and classification algorithms in identifying malicious executables
Computational Statistics & Data Analysis
A scalable multi-level feature extraction technique to detect malicious executables
Information Systems Frontiers
Using Artificial Intelligence for Intrusion Detection
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Feature based techniques for auto-detection of novel email worms
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
An email worm vaccine architecture
ISPEC'05 Proceedings of the First international conference on Information Security Practice and Experience
New malicious code detection using variable length n-grams
ICISS'06 Proceedings of the Second international conference on Information Systems Security
E-mail worm detection using the analysis of behavior
ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
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