Amanote Research

Amanote Research

    RegisterSign In

Computer Network Traffic Analysis With the Use of Statistical Self-Similarity Factor

Annales UMCS, Informatica
doi 10.2478/v10065-012-0040-0
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2013

Authors
Paweł DymoraMirosław MazurekDominik Strzałka
Publisher

Uniwersytetu Marii Curie-Sklodowskiej w Lublinie


Related search

Combining Statistical and Spectral Analysis Techniques in Network Traffic Anomaly Detection

English

Genetic Analysis and Computer: How to Use Network.

SEIBUTSU BUTSURI KAGAKU
1997English

Systematic Statistical Comparison of Comparative Molecular Similarity Indices Analysis Molecular Fields for Computer-Aided Lead Optimization

English

Prediction of Traffic Counts Using Statistical and Neural Network Models

Geomatica
DevelopmentEarth-Surface ProcessesPlanningGeography
2015English

Congestion Control for Self-Similar Network Traffic

English

Spektral Analysis of Honeypot Network Traffic

SPIIRAS Proceedings
ControlSystems EngineeringInformation SystemsComputer NetworksApplied MathematicsMathematicsCommunicationsComputer Science ApplicationsComputational TheoryComputational MathematicsArtificial Intelligence
2014English

Structural Analysis of Network Traffic Flows

2003English

Study of Self-Similarity for Detection of Rate-Based Network Anomalies

International Journal of Security and its Applications
Computer Science
2017English

Importance Sampling Based Internet Traffic Engineering Under Self-Similar Network Traffic Model

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy