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» Detecting Anomalies and Intruders
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SAC
2006
ACM
15 years 3 months ago
An anomaly-driven reverse proxy for web applications
Careless development of web-based applications results in vulnerable code being deployed and made available to the whole Internet, creating easily-exploitable entry points for the...
Fredrik Valeur, Giovanni Vigna, Christopher Kr&uum...
ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
15 years 3 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
AUSDM
2007
Springer
84views Data Mining» more  AUSDM 2007»
15 years 3 months ago
Detecting Anomalous Longitudinal Associations Through Higher Order Mining
The detection of unusual or anomalous data is an important function in automated data analysis or data mining. However, the diversity of anomaly detection algorithms shows that it...
Ping Liang, John F. Roddick
ISSTA
2012
ACM
13 years 4 days ago
Static detection of brittle parameter typing
To avoid receiving incorrect arguments, a method specifies the expected type of each formal parameter. However, some parameter types are too general and have subtypes that the me...
Michael Pradel, Severin Heiniger, Thomas R. Gross
DSN
2000
IEEE
15 years 2 months ago
Benchmarking Anomaly-Based Detection Systems
Anomaly detection is a key element of intrusiondetection and other detection systems in which perturbations of normal behavior suggest the presence of intentionally or unintention...
Roy A. Maxion, Kymie M. C. Tan