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» Network Intrusion Detection Using Genetic Clustering
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ASUNAM
2009
IEEE
14 years 9 months ago
Automatically Detecting Points of Interest and Social Networks from Tracking Positions of Avatars in a Virtual World
With hundreds of millions of users already today, virtual worlds will become an important factor in tomorrow's media landscape. In a virtual world, users are represented by s...
Frank Kappe, Bilal Zaka, Michael Steurer
ICIP
2009
IEEE
16 years 25 days ago
Corner-based Background Segmentation Using Adaptive Resonance Theory
A correct video segmentation, namely the detection of moving objects within a scene plays a very important role in many application in safety, surveillance, trafic monitoring and ...
WIMOB
2007
IEEE
15 years 6 months ago
A New Protocol for Securing Wireless Sensor Networks against Nodes Replication Attacks
—The low-cost, unattended nature and the capability of self-organizing of sensors, yield the use of Wireless Sensor Networks (WSN) very popular to day. Unfortunately, the unshiel...
Chakib Bekara, Maryline Laurent-Maknavicius
SAC
2004
ACM
15 years 5 months ago
Time-frequency feature detection for time-course microarray data
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
Jiawu Feng, Paolo Emilio Barbano, Bud Mishra
INFOCOM
2011
IEEE
14 years 3 months ago
Network-aware behavior clustering of Internet end hosts
Abstract—This paper explores the behavior similarity of Internet end hosts in the same network prefixes. We use bipartite graphs to model network traffic, and then construct on...
Kuai Xu, Feng Wang 0002, Lin Gu