Identification of Abnormal DNS Traffic With Hurst Parameter

Balkan Journal of Electrical and Computer Engineering
doi 10.17694/bajece.435230
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Balkan Journal of Electrical & Computer Engineering (BAJECE)

Related search

Dependence Approximation of the Hurst Coefficient on the Traffic Distribution Parameter

Information and Telecommunication Sciences
2017English

A Novel Approach to the Estimation of the Hurst Parameter in Self-Similar Traffic

English

A Note on Wavelet-Based Estimator of the Hurst Parameter

Entropy
Electronic EngineeringInformation SystemsMathematical PhysicsElectricalAstronomyPhysics
2020English

Sensitivity of ABR Congestion Control Algorithms to Hurst Parameter Estimates

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2000English

Detecting Domain-Flux Botnet Based on DNS Traffic Features in Managed Network

Security and Communication Networks
Computer NetworksInformation SystemsCommunications
2016English

Estimating the Hurst Parameter From Short Term Volatility Swaps: A Malliavin Calculus Approach

Finance and Stochastics
UncertaintyStatisticsFinanceProbability
2019English

Estimates for the Solution to Stochastic Differential Equations Driven by a Fractional Brownian Motion With Hurst Parameter H ∈ (⅓, ½)

Stochastics and Dynamics
ModelingSimulation
2011English

Anomaly Detection of Domain Name System (DNS) Query Traffic at Top Level Domain Servers

Scientific Research and Essays
2011English

Evaluating the Impact of DNS and HTTP Session Characteristics on Consumer ISP Web Traffic

2005English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy