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» Detecting Novel Scans Through Pattern Anomaly Detection
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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 7 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 2 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
ACSAC
2004
IEEE
13 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...
PERVASIVE
2011
Springer
12 years 9 months ago
n-Gram Geo-trace Modeling
As location-sensing smart phones and location-based services gain mainstream popularity, there is increased interest in developing techniques that can detect anomalous activities. ...
Senaka Buthpitiya, Ying Zhang, Anind K. Dey, Marti...
SAC
2004
ACM
14 years 5 days ago
Towards multisensor data fusion for DoS detection
In our present work we introduce the use of data fusion in the field of DoS anomaly detection. We present DempsterShafer’s Theory of Evidence (D-S) as the mathematical foundati...
Christos Siaterlis, Basil S. Maglaris