Q
Qiang Chen
Researcher at Arizona State University
Publications - 7
Citations - 1030
Qiang Chen is an academic researcher from Arizona State University. The author has contributed to research in topics: Intrusion detection system & Anomaly detection. The author has an hindex of 6, co-authored 7 publications receiving 992 citations.
Papers
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Journal ArticleDOI
Multivariate statistical analysis of audit trails for host-based intrusion detection
TL;DR: This study investigates a multivariate quality control technique to detect intrusions by building a long-term profile of normal activities in information systems (norm profile) and using the norm profile to detect anomalies.
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An anomaly detection technique based on a chi-square statistic for detecting intrusions into information systems
Nong Ye,Qiang Chen +1 more
TL;DR: This paper presents an anomaly detection technique based on a chi‐square statistic that builds a profile of normal events in an information system—a norm profile and detects a large departure as an anomaly—a likely intrusion.
Journal ArticleDOI
Probabilistic techniques for intrusion detection based on computer audit data
TL;DR: Unless the scalability problem of complex data models taking into account the ordering property of activity data is solved, intrusion detection techniques based on the frequency property provide a viable solution that produces good intrusion detection performance with low computational overhead.
Journal ArticleDOI
Computer intrusion detection through EWMA for autocorrelated and uncorrelated data
Nong Ye,S. Vilbert,Qiang Chen +2 more
TL;DR: This study applies, test, and compares two EWMA techniques to detect anomalous changes in event intensity for intrusion detection: EWMA for autocorrelated data andEWMA for uncor related data.
Journal ArticleDOI
EWMA forecast of normal system activity for computer intrusion detection
TL;DR: The results indicate that the Chi square distance measure with the EWMA forecasting provides better performance in intrusion detection than that with the average-based forecasting method.