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» Measuring network security using dynamic bayesian network
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NIPS
1998
13 years 10 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
JCP
2008
166views more  JCP 2008»
13 years 9 months ago
Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as...
Ishmael S. Msiza, Fulufhelo Vincent Nelwamondo, Ts...
CSREASAM
2006
13 years 10 months ago
Adaptive Security Metrics for Computer Systems
The major concern for a computer system is its security and integrity. It is necessary to check the security level of your system and keep it updated. This can be best achieved by ...
Satish Baddelpeli, Gregory Vert
CRV
2006
IEEE
160views Robotics» more  CRV 2006»
14 years 3 months ago
Multiple-Sensor Indoor Surveillance System
This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consist...
Valery A. Petrushin, Gang Wei, Omer Shakil, Damian...
NOMS
2006
IEEE
189views Communications» more  NOMS 2006»
14 years 3 months ago
Analysis of Firewall Policy Rules Using Data Mining Techniques
— Firewall is the de facto core technology of today's network security and defense. However, the management of firewall rules has been proven to be complex, error-prone, cos...
Korosh Golnabi, Richard K. Min, Latifur Khan, Ehab...