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OTM
2010
Springer
8 years 8 months ago
Towards Duplicate Detection for Situation Awareness Based on Spatio-temporal Relations
Abstract. Systems supporting situation awareness typically integrate information about a large number of real-world objects anchored in time and space provided by multiple sources....
Norbert Baumgartner, Wolfgang Gottesheim, Stefan M...
TKDE
2010
150views more  TKDE 2010»
8 years 8 months ago
Prospective Infectious Disease Outbreak Detection Using Markov Switching Models
—Accurate and timely detection of infectious disease outbreaks provides valuable information which can enable public health officials to respond to major public health threats in...
Hsin-Min Lu, Daniel Zeng, Hsinchun Chen
INFOCOM
2010
IEEE
8 years 8 months ago
A Signal Processing View on Packet Sampling and Anomaly Detection
—Anomaly detection methods typically operate on pre-processed, i.e., sampled and aggregated, traffic traces. Most traffic capturing devices today employ random packet sampling,...
Daniela Brauckhoff, Kavé Salamatian, Martin...
COMCOM
2004
79views more  COMCOM 2004»
8 years 10 months ago
Anomaly detection methods in wired networks: a survey and taxonomy
Despite the advances reached along the last 20 years, anomaly detection in network behavior is still an immature technology, and the shortage of commercial tools thus corroborates...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
ICONIP
2008
8 years 11 months ago
Detecting Methods of Virus Email Based on Mail Header and Encoding Anomaly
In this paper, we try to develop a machine learning-based virus email detection method. The key feature of this paper is employing Mail Header and Encoding Anomaly(MHEA) [1]. MHEA ...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
USS
2008
9 years 13 days ago
Towards Systematic Evaluation of the Evadability of Bot/Botnet Detection Methods
Automated bot/botnet detection is a difficult problem given the high level of attacker power. We propose a systematic approach for evaluating the evadability of detection methods....
Elizabeth Stinson, John C. Mitchell
FLAIRS
2008
9 years 13 days ago
Distance Metric Learning for Conditional Anomaly Detection
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly de...
Michal Valko, Milos Hauskrecht
AAAI
2007
9 years 13 days ago
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of ho...
Masoumeh T. Izadi, David L. Buckeridge
BIOSURVEILLANCE
2007
Springer
9 years 4 months ago
A Bayesian Biosurveillance Method That Models Unknown Outbreak Diseases
Algorithms for detecting anomalous events can be divided into those that are designed to detect specific diseases and those that are non-specific in what they detect. Specific dete...
Yanna Shen, Gregory F. Cooper
ICRA
2008
IEEE
185views Robotics» more  ICRA 2008»
9 years 4 months ago
Human detection using multimodal and multidimensional features
— This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
Luciano Spinello, Roland Siegwart
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