M
Matthew Miller
Researcher at Columbia University
Publications - 9
Citations - 1092
Matthew Miller is an academic researcher from Columbia University. The author has contributed to research in topics: Intrusion detection system & Factor cost. The author has an hindex of 8, co-authored 9 publications receiving 1073 citations.
Papers
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Journal ArticleDOI
Toward cost-sensitive modeling for intrusion detection and response
TL;DR: This paper defines cost models to formulate the total expected cost of an IDS, and presents cost-sensitive machine learning techniques that can produce detection models that are optimized for user-defined cost metrics.
Proceedings ArticleDOI
Real time data mining-based intrusion detection
Wenke Lee,Salvatore J. Stolfo,Philip K. Chan,Eleazar Eskin,Wei Fan,Matthew Miller,Shlomo Hershkop,Junxin Zhang +7 more
TL;DR: An overview of the research in real time data mining-based intrusion detection systems (IDS) and an architecture consisting of sensors, detectors, a data warehouse, and model generation components is presented that improves the efficiency and scalability of the IDS.
Journal ArticleDOI
Using artificial anomalies to detect unknown and known network intrusions
TL;DR: An algorithm to generate artificial anomalies to coerce the inductive learner into discovering an accurate boundary between known classes (normal connections and known intrusions) and anomalies is proposed.
Proceedings ArticleDOI
Surveillance detection in high bandwidth environments
TL;DR: The results show that both ESD and PSD accurately discover great quantities of surveillance activities (including long-lived and distributed scans) and can be tuned to reduce the volume of alerts.
Adaptive Model Generation for Intrusion Detection Systems
TL;DR: The adaptive model generation system is presented, a method for automatically building detection models for data-mining based intrusion detection systems using the same data collected by intrusion detection sensors, which significantly reduces the deployment cost of an intrusion detection system.