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» Detecting Anomalies and Intruders
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ASPLOS
2006
ACM
15 years 3 months ago
HeapMD: identifying heap-based bugs using anomaly detection
We present the design, implementation, and evaluation of HeapMD, a dynamic analysis tool that finds heap-based bugs using anomaly detection. HeapMD is based upon the observation ...
Trishul M. Chilimbi, Vinod Ganapathy
ICIP
2007
IEEE
15 years 11 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
ICDCSW
2006
IEEE
15 years 3 months ago
An Evaluation of the Effectiveness of Measurement-based Anomaly Detection Techniques
A number of recent studies have proposed measurement based approaches to network traffic analysis. These techniques treat traffic volume and traffic header data as signals or imag...
Seong Soo Kim, A. L. Narasimha Reddy
AINA
2007
IEEE
14 years 10 months ago
Detecting Anomaly Node Behavior in Wireless Sensor Networks
Wireless sensor networks are usually deployed in a way “once deployed, never changed”. The actions of sensor nodes are either pre-scheduled inside chips or triggered to respon...
Qinghua Wang, Tingting Zhang
FI
2010
130views more  FI 2010»
14 years 7 months ago
Improving Anomaly Detection for Text-Based Protocols by Exploiting Message Structures
: Service platforms using text-based protocols need to be protected against attacks. Machine-learning algorithms with pattern matching can be used to detect even previously unknown...
Martin Güthle, Jochen Kögel, Stefan Wahl...