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» Detecting Anomalies in Graphs
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AINA
2007
IEEE
15 years 3 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
149
Voted
FI
2010
130views more  FI 2010»
15 years 1 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...
154
Voted
KDD
1998
ACM
181views Data Mining» more  KDD 1998»
15 years 8 months ago
Approaches to Online Learning and Concept Drift for User Identification in Computer Security
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...
Terran Lane, Carla E. Brodley
129
Voted
SP
2003
IEEE
107views Security Privacy» more  SP 2003»
15 years 9 months ago
Anomaly Detection Using Call Stack Information
The call stack of a program execution can be a very good information source for intrusion detection. There is no prior work on dynamically extracting information from call stack a...
Henry Hanping Feng, Oleg M. Kolesnikov, Prahlad Fo...
118
Voted
ICPR
2010
IEEE
15 years 1 months ago
Online Learning with Self-Organizing Maps for Anomaly Detection in Crowd Scenes
Detecting abnormal behaviors in crowd scenes is quite important for public security and has been paid more and more attentions. Most previous methods use offline trained model to p...
Jie Feng, Chao Zhang, Pengwei Hao