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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 10 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
SERSCISA
2009
Springer
14 years 4 months ago
ATTENTION: ATTackEr Traceback Using MAC Layer AbNormality DetecTION
Denial-of-Service (DoS) and Distributed DoS (DDoS) attacks can cause serious problems in wireless networks due to limited network and host resources. Attacker traceback is a promi...
Yongjin Kim
MICCAI
2008
Springer
14 years 11 months ago
Detection of DTI White Matter Abnormalities in Multiple Sclerosis Patients
The emergence of new modalities such as Diusion Tensor Imaging (DTI) is of great interest for the characterization and the temporal study of Multiple Sclerosis (MS). DTI indeed giv...
Olivier Commowick, Pierre Fillard, Olivier Clatz...
MOBISYS
2007
ACM
14 years 9 months ago
Algorithm to automatically detect abnormally long periods of inactivity in a home
An algorithm has been developed to automatically construct individual models of normal activity within a home using motion sensor data. Alerts can be generated when a period of in...
Paul Cuddihy, Jenny Weisenberg, Catherine Graichen...
ICOST
2010
Springer
14 years 1 months ago
Use Cases for Abnormal Behaviour Detection in Smart Homes
While people have many ideas about how a smart home should react to particular behaviours from their inhabitant, there seems to have been relatively little attempt to organise this...
An C. Tran, Stephen Marsland, Jens Dietrich, Hans ...