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PST
2004
15 years 8 months ago
A novel visualization technique for network anomaly detection
Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human us...
Iosif-Viorel Onut, Bin Zhu, Ali A. Ghorbani
NIPS
1997
15 years 8 months ago
Intrusion Detection with Neural Networks
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is ...
Jake Ryan, Meng-Jang Lin, Risto Miikkulainen
CORR
2010
Springer
179views Education» more  CORR 2010»
15 years 6 months ago
Highway Mobility and Vehicular Ad-Hoc Networks in NS-3
The study of vehicular ad-hoc networks (VANETs) requires efficient and accurate simulation tools. As the mobility of vehicles and driver behavior can be affected by network messag...
Hadi Arbabi, Michele C. Weigle
CORR
2006
Springer
113views Education» more  CORR 2006»
15 years 6 months ago
Decentralized Maximum Likelihood Estimation for Sensor Networks Composed of Nonlinearly Coupled Dynamical Systems
Abstract--In this paper, we propose a decentralized sensor network scheme capable to reach a globally optimum maximum-likelihood (ML) estimate through self-synchronization of nonli...
Sergio Barbarossa, Gesualdo Scutari
CORR
2007
Springer
136views Education» more  CORR 2007»
15 years 6 months ago
On Cognitive Interference Networks
— We study the high-power asymptotic behavior of the sum-rate capacity of multi-user interference networks with an equal number of transmitters and receivers. We assume that each...
Amos Lapidoth, Shlomo Shamai, Michele A. Wigger