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» Detecting Novel Scans Through Pattern Anomaly Detection
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RSFDGRC
2005
Springer
156views Data Mining» more  RSFDGRC 2005»
14 years 7 days ago
Intrusion Detection System Based on Multi-class SVM
In this paper, we propose a new intrusion detection model, which keeps advantages of existing misuse detection model and anomaly detection model and resolves their problems. This ...
Hansung Lee, Jiyoung Song, Daihee Park
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
13 years 8 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
ISPEC
2005
Springer
14 years 8 days ago
An Email Worm Vaccine Architecture
We present an architecture for detecting “zero-day” worms and viruses in incoming email. Our main idea is to intercept every incoming message, prescan it for potentially danger...
Stelios Sidiroglou, John Ioannidis, Angelos D. Ker...
RAID
2009
Springer
14 years 1 months ago
Autonomic Intrusion Detection System
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
Wei Wang 0012, Thomas Guyet, Svein J. Knapskog
VIZSEC
2005
Springer
14 years 7 days ago
A Visualization Methodology for Characterization of Network Scans
Many methods have been developed for monitoring network traffic, both using visualization and statistics. Most of these methods focus on the detection of suspicious or malicious ...
Chris Muelder, Kwan-Liu Ma, Tony Bartoletti