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» Network Intrusion Detection Using Genetic Clustering
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JSS
2008
122views more  JSS 2008»
13 years 7 months ago
Traffic-aware stress testing of distributed real-time systems based on UML models using genetic algorithms
This report presents a model-driven, stress test methodology aimed at increasing chances of discovering faults related to network traffic in Distributed Real-Time Systems (DRTS). T...
Vahid Garousi, Lionel C. Briand, Yvan Labiche
CIKM
2010
Springer
13 years 7 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
CEC
2010
IEEE
13 years 10 months ago
An analysis of clustering objectives for feature selection applied to encrypted traffic identification
This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. ...
INFOCOM
2006
IEEE
14 years 2 months ago
Optimal Distributed Detection in Clustered Wireless Sensor Networks: The Weighted Median
− In a clustered, multi-hop sensor network, a large number of inexpensive, geographically-distributed sensor nodes each use their observations of the environment to make local ha...
Qingjiang Tian, Edward J. Coyle
JPDC
2006
129views more  JPDC 2006»
13 years 8 months ago
LAD: Localization anomaly detection for wireless sensor networks
In wireless sensor networks (WSNs), sensors' locations play a critical role in many applications. Having a GPS receiver on every sensor node is costly. In the past, a number ...
Wenliang Du, Lei Fang, Peng Ning