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» Detecting Spam at the Network Level
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131
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AI
2008
Springer
15 years 10 months ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...
118
Voted
CORR
2010
Springer
91views Education» more  CORR 2010»
15 years 3 months ago
Verifiable Network-Performance Measurements
In the current Internet, there is no clean way for affected parties to react to poor forwarding performance: to detect and assess Service Level Agreement (SLA) violations by a con...
Katerina J. Argyraki, Petros Maniatis, Ankit Singl...
128
Voted
ICIP
2002
IEEE
16 years 5 months ago
An improved error control paradigm for multimedia transmission over wireless networks
Providing quality-of-service (QoS) guarantees over wireless packet networks requires thorough understanding and quantification of the interactions among the traffic source, the wi...
Mohamed F. Mansour, Abed Elhamid Lawabni, Ahmed H....
120
Voted
CNSR
2009
IEEE
102views Communications» more  CNSR 2009»
15 years 7 months ago
Online Classification of Network Flows
Online classification of network traffic is very challenging and still an issue to be solved due to the increase of new applications and traffic encryption. In this paper, we prop...
Mahbod Tavallaee, Wei Lu, Ali A. Ghorbani
115
Voted
SIMUTOOLS
2008
15 years 5 months ago
SIMCAN: a SIMulator framework for computer architectures and storage networks
This paper presents an OMNeT-based Framework to simulate large complex storage networks, with its corresponding underlying subsystems (I/O, Networking, etc.). With this Framework,...
Alberto Nuñez, Javier Fernández, Jos...