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IJNSEC
2008
95views more  IJNSEC 2008»
15 years 4 months ago
Generalized Anomaly Detection Model for Windows-based Malicious Program Behavior
In this paper we demonstrate that it is possible in general to detect Windows-based malicious program behavior. Since S. Forrest et al. used the N-grams method to classify system ...
Xin Tang, Constantine N. Manikopoulos, Sotirios G....
ICRA
2005
IEEE
136views Robotics» more  ICRA 2005»
15 years 10 months ago
Operator Engagement Detection and Robot Behavior Adaptation in Human-Robot Interaction
- It has been shown that in human-robot interaction, the effectiveness of a robot varies inversely with the operator engagement in the task. Given the importance of maintaining opt...
Pramila Rani, Nilanjan Sarkar
ECCV
2006
Springer
16 years 6 months ago
Robust Attentive Behavior Detection by Non-linear Head Pose Embedding and Estimation
We present a new scheme to robustly detect a type of human attentive behavior, which we call frequent change in focus of attention (FCFA), from video sequences. FCFA behavior can b...
Nan Hu, Weimin Huang, Surendra Ranganath
NETWORK
2008
94views more  NETWORK 2008»
15 years 4 months ago
Detecting compromised routers via packet forwarding behavior
While it is widely understood that criminal miscreants are subverting large numbers of Internet-connected computers (e.g., for bots, spyware, SPAM forwarding), it is less well app...
Alper Tugay Mizrak, Stefan Savage, Keith Marzullo
CVPR
2009
IEEE
1863views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Abnormal Crowd Behavior Detection using Social Force Model
In this paper we introduce a novel method to detect and localize abnormal behaviors in crowd videos using Social Force model. For this purpose, a grid of particles is placed ove...
Alexis Oyama, Mubarak Shah, Ramin Mehran