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» Fates: A Granular Approach to Real-Time Anomaly Detection
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ICCCN
2007
IEEE
13 years 11 months ago
Fates: A Granular Approach to Real-Time Anomaly Detection
— Anomaly-based intrusion detection systems have the ability of detecting novel attacks, but in real-time detection, they face the challenges of producing many false alarms and f...
Jeff Janies, Chin-Tser Huang
ICC
2007
IEEE
109views Communications» more  ICC 2007»
13 years 11 months ago
Real Time Detection of Link Failures in Inter Domain Routing
Abstract— Measurements have shown that network path failures occur frequently in the Internet and physical link failures can cause network instability in large scale and severity...
Xiaobo Long, Biplab Sikdar
CASES
2005
ACM
13 years 6 months ago
Anomalous path detection with hardware support
Embedded systems are being deployed as a part of critical infrastructures and are vulnerable to malicious attacks due to internet accessibility. Intrusion detection systems have b...
Tao Zhang, Xiaotong Zhuang, Santosh Pande, Wenke L...
CCGRID
2009
IEEE
13 years 11 months ago
Multi-scale Real-Time Grid Monitoring with Job Stream Mining
—The ever increasing scale and complexity of large computational systems ask for sophisticated management tools, paving the way toward Autonomic Computing. A first step toward A...
Xiangliang Zhang, Michèle Sebag, Céc...
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 4 days ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson