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» A behavioral approach to worm detection
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FUZZIEEE
2007
IEEE
15 years 1 months ago
An Interval Intelligent-based Approach for Fault Detection and Modelling
Not considered in the analytical model of the plant, uncertainties always dramatically decrease the performance of the fault detection task in the practice. To cope better with thi...
Abbas Khosravi, Joaquim Armengol Llobet, Esteban R...
ICALT
2006
IEEE
15 years 3 months ago
An Approach for Detecting Learning Styles in Learning Management Systems
Detecting the needs of learners is a challenging but essential task to be able to provide adaptivity. In this paper we present a tool that enables learning management systems (LMS...
Sabine Graf, Kinshuk
GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
14 years 10 months ago
Combatting financial fraud: a coevolutionary anomaly detection approach
A major difficulty for anomaly detection lies in discovering boundaries between normal and anomalous behavior, due to the deficiency of abnormal samples in the training phase. In...
Shelly Xiaonan Wu, Wolfgang Banzhaf
TACAS
2012
Springer
275views Algorithms» more  TACAS 2012»
13 years 5 months ago
Pushdown Model Checking for Malware Detection
The number of malware is growing extraordinarily fast. Therefore, it is important to have efficient malware detectors. Malware writers try to obfuscate their code by different tec...
Fu Song, Tayssir Touili
73
Voted
DSN
2008
IEEE
15 years 4 months ago
On localization attacks to Internet Threat Monitors: An information-theoretic framework
Internet Threat Monitoring (ITM) systems are a widely deployed facility to detect, analyze, and characterize dangerous Internet threats such as worms and distributed denial-of-ser...
Wei Yu, Nan Zhang 0004, Xinwen Fu, Riccardo Bettat...