Add to ORKGAbstract — This letter proposes an Entropy-based methodology to reduce large network traffic data sets obtained by measure-ments over real networks. The proposed off-line approach, based on the Marginal Utility concept, reveals interesting results when applied to real data captured over real networks: to show its applicability, results obtained with traffic traces from a popular network game, Counter-Strike, are presented. Index Terms — Communication system traffic, network opera-tions and management, performance analysis. I
Traffic matrices are required inputs for many IP network management tasks, such as capacity planning...
Diagnosing traffic anomalies rapidly and accurately is critical to the efficient operation of large ...
We develop a behavior-based anomaly detection method that detects network anomalies by comparing the...
This letter proposes an entropy-based methodology to reduce large network traffic data sets obtained...
• Given n flows of sizes a1,..., an. Let s ≡ i ai. The empirical entropy is defined a
Using entropy of traffic distributions has been shown to aid a wide variety of network monitoring ap...
none3noThe evaluation of network traffic entropy is very useful for management purposes, since it he...
Network anomaly detection is a broad area of research. The use of entropy and distributions of traff...
Abstract. This paper considers systems for Traffic Analysis Prevention (TAP) in a theoretical model....
Traffic matrices describe the volume of traffic between a set of sources and destinations within a n...
This paper presents a rigorous information theoretic-based framework for the optimal place- ment of ...
The thermodynamic entropy of an ATM traffic stream is a useful tool for predicting cell-loss ratios ...
What are the fundamental limits on the communications potential of wireless networks? We contend tha...
Network traffic monitoring uses empirical entropy to detect anomalous events such as various types o...
This paper describes a new paradigm for modeling traffic levels on the world wide web (WWW) using a ...
Traffic matrices are required inputs for many IP network management tasks, such as capacity planning...
Diagnosing traffic anomalies rapidly and accurately is critical to the efficient operation of large ...
We develop a behavior-based anomaly detection method that detects network anomalies by comparing the...
This letter proposes an entropy-based methodology to reduce large network traffic data sets obtained...
• Given n flows of sizes a1,..., an. Let s ≡ i ai. The empirical entropy is defined a
Using entropy of traffic distributions has been shown to aid a wide variety of network monitoring ap...
none3noThe evaluation of network traffic entropy is very useful for management purposes, since it he...
Network anomaly detection is a broad area of research. The use of entropy and distributions of traff...
Abstract. This paper considers systems for Traffic Analysis Prevention (TAP) in a theoretical model....
Traffic matrices describe the volume of traffic between a set of sources and destinations within a n...
This paper presents a rigorous information theoretic-based framework for the optimal place- ment of ...
The thermodynamic entropy of an ATM traffic stream is a useful tool for predicting cell-loss ratios ...
What are the fundamental limits on the communications potential of wireless networks? We contend tha...
Network traffic monitoring uses empirical entropy to detect anomalous events such as various types o...
This paper describes a new paradigm for modeling traffic levels on the world wide web (WWW) using a ...
Traffic matrices are required inputs for many IP network management tasks, such as capacity planning...
Diagnosing traffic anomalies rapidly and accurately is critical to the efficient operation of large ...
We develop a behavior-based anomaly detection method that detects network anomalies by comparing the...