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CW
2003
IEEE
15 years 2 months ago
Utilizing Statistical Characteristics of N-grams for Intrusion Detection
Information and infrastructure security is a serious issue of global concern. As the last line of defense for security infrastructure, intrusion detection techniques are paid more...
Zhuowei Li, Amitabha Das, Sukumar Nandi
ICICS
2003
Springer
15 years 2 months ago
A Compound Intrusion Detection Model
Intrusion detection systems (IDSs) have become a critical part of security systems. The goal of an intrusion detection system is to identify intrusion effectively and accurately. ...
Jianhua Sun, Hai Jin, Hao Chen, Qian Zhang, Zongfe...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
15 years 9 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
15 years 1 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ASPLOS
2011
ACM
14 years 1 months ago
Improving the performance of trace-based systems by false loop filtering
Trace-based compilation is a promising technique for language compilers and binary translators. It offers the potential to expand the compilation scopes that have traditionally be...
Hiroshige Hayashizaki, Peng Wu, Hiroshi Inoue, Mau...