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» TCP Traffic Classification Using Markov Models
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MMS
2006
15 years 1 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
ICCCN
2007
IEEE
15 years 8 months ago
A Proactive Test Based Differentiation Technique to Mitigate Low Rate DoS Attacks
— Low rate DoS attacks are emerging threats to the TCP traffic, and the VoIP traffic in the Internet. They are hard to detect as they intelligently send attack traffic inside the...
Amey Shevtekar, Nirwan Ansari
CN
2006
126views more  CN 2006»
15 years 1 months ago
A measurement study of correlations of Internet flow characteristics
Previous studies of Internet traffic have shown that a very small percentage of flows consume most of the network bandwidth. It is important to understand the characteristics of s...
Kun-Chan Lan, John S. Heidemann
CEC
2010
IEEE
15 years 3 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. ...
JMLR
2010
145views more  JMLR 2010»
14 years 8 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever