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ISMIS
2005
Springer
16 years 23 hour ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
ISMIS
2005
Springer
16 years 23 hour ago
Scalable Inductive Learning on Partitioned Data
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
Qijun Chen, Xindong Wu, Xingquan Zhu
ISMIS
2005
Springer
16 years 23 hour ago
A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
ISMIS
2005
Springer
16 years 23 hour ago
Anomaly Detection in Computer Security and an Application to File System Accesses
Abstract. We present an overview of anomaly detection used in computer security, and provide a detailed example of a host-based Intrusion Detection System that monitors file syste...
Salvatore J. Stolfo, Shlomo Hershkop, Linh H. Bui,...
ISMIS
2005
Springer
16 years 23 hour ago
Statistical Database Modeling for Privacy Preserving Database Generation
Abstract. Testing of database applications is of great importance. Although various studies have been conducted to investigate testing techniques for database design, relatively fe...
Xintao Wu, Yongge Wang, Yuliang Zheng
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