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» Intrusion detection techniques and approaches
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FLAIRS
2009
15 years 4 months ago
Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data
One of the primary issues with traditional anomaly detection approaches is their inability to handle complex, structural data. One approach to this issue involves the detection of...
William Eberle, Lawrence B. Holder
ISW
2009
Springer
16 years 1 months ago
F3ildCrypt: End-to-End Protection of Sensitive Information in Web Services
The frequency and severity of a number of recent intrusions involving data theft and leakages has shown that online users’ trust, voluntary or not, in the ability of third partie...
Matthew Burnside, Angelos D. Keromytis
MEDINFO
2007
116views Healthcare» more  MEDINFO 2007»
15 years 8 months ago
Improving Computer Aided Disease Detection Using Knowledge of Disease Appearance
The accurate quantification of disease patterns in medical images allows radiologists to track the progress of a disease. Various computer vision techniques are able to automatica...
Tatjana Zrimec, James S. J. Wong
LWA
2008
15 years 8 months ago
Towards Burst Detection for Non-Stationary Stream Data
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
Daniel Klan, Marcel Karnstedt, Christian Pöli...
ACSAC
2004
IEEE
15 years 10 months ago
RACOON: Rapidly Generating User Command Data For Anomaly Detection From Customizable Templates
One of the biggest obstacles faced by user command based anomaly detection techniques is the paucity of data. Gathering command data is a slow process often spanning months or yea...
Ramkumar Chinchani, Aarthie Muthukrishnan, Madhusu...