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An empirical study on TCP flow interarrival time distribution for normal and anomalous traffic

https://doi.org/10.1002/dac.2881
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Computation of minimum transmit power for network connectivity in vehicular ad hoc networks formed by vehicles with random communication range
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Improving PCA‐based anomaly detection by using multiple time scale analysis and Kullback–Leibler divergence
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A reconstructing approach to end‐to‐end network traffic based on multifractal wavelet model
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Analysis and efficient provisioning of access networks with correlated and bursty arrivals
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Benford's law behavior of Internet traffic
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Control Chart Tests Based on Geometric Moving Averages
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Maximum Likelihood Estimation in the Weibull Distribution Based On Complete and On Censored Samples
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Estimating Model Discrepancy
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X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling
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XIII. Electric and magnetic spectroscopy
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inferredcites →https://doi.org/10.1109/90.330413openalex-snapshot
Empirically derived analytic models of wide-area TCP connections
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Wide area traffic: the failure of Poisson modeling
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On self-similar traffic in ATM queues: definitions, overflow probability bound, and cell delay distribution
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Self-similarity in World Wide Web traffic: evidence and possible causes
inferredcites →https://doi.org/10.1109/ems.2011.34openalex-snapshot
On the TCP Flow Inter-arrival Times Dsitribution
inferredcites →https://doi.org/10.1109/itc.2013.6662948openalex-snapshot
The role of the Weibull distribution in Internet traffic modeling
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Empirical analysis and modeling of peer-to-peer traffic flows
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Parameter Estimation for the Weibull Distribution
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A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis
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Investigation on the IP Flow Inter-Arrival Time in Large-Scale Network
inferredcites →https://doi.org/10.1145/190809.190339openalex-snapshot
Analysis, modeling and generation of self-similar VBR video traffic
inferredcites →https://doi.org/10.1145/378420.378440openalex-snapshot
On the nonstationarity of Internet traffic
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On the nonstationarity of Internet traffic
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Count Models Based on Weibull Interarrival Times

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Statistical Analysis of Loading for the Simulation of Belt Conveyor–Based Transportation System
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Development of an Early Warning System for Network Intrusion Detection Using Benford’s Law Features
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A Detailed Analysis on Intrusion Identification Mechanism in Cloud Computing and Datasets
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The role of the Weibull distribution in modelling traffic in Internet access and backbone core networks
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Optimizing latency for caching with delayed hits in non-stationary environment
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The Role of Weibull Distribution for Anomaly Detection in Internet Traffic
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Long-range dependence and self-similarity of teletraffic with different protocols at the large time scale of day in the duration of 12 years: Autocorrelation modeling
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Detection and classification of malicious patterns in network traffic using Benford's law
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Leveraging Benford’s Law for Effective Intrusion Detection in MQTT-IoT Networks
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A Way to Deduct the Attacks which is Anomaly in Nature in 5G Networks with the Use of Machine Learning
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TCP Phases Classification Using Long Short-Term Memory Recurrent Neural Networks
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Machine Learning based Anomaly Detection for 5G Networks
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"Flow Size Difference" Can Make a Difference: Detecting Malicious TCP Network Flows Based on Benford's Law
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