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» Detecting Novel Discrepancies in Communication Networks
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CCS
2009
ACM
14 years 5 months ago
Automatic discovery of botnet communities on large-scale communication networks
Botnets are networks of compromised computers infected with malicious code that can be controlled remotely under a common command and control (C&C) channel. Recognized as one ...
Wei Lu, Mahbod Tavallaee, Ali A. Ghorbani
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
13 years 8 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
12 years 14 days ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
GLOBECOM
2007
IEEE
13 years 11 months ago
A Novel OFDMA Ranging Method Exploiting Multiuser Diversity
This paper addresses initial ranging (uplink synchronization and power control) for TDD OFDMA systems. Exploiting the channel knowledge from the downlink channel together with ini...
Jianqiang Zeng, Hlaing Minn
ICCCN
2008
IEEE
13 years 11 months ago
Massively Parallel Anomaly Detection in Online Network Measurement
—Detecting anomalies during the operation of a network is an important aspect of network management and security. Recent development of high-performance embedded processing syste...
Shashank Shanbhag, Tilman Wolf