Detail publikačního výsledku

Traffic Similarity Observation Using a Genetic Algorithm and Clustering

OUJEZSKÝ, V.; HORVÁTH, T.

Originální název

Traffic Similarity Observation Using a Genetic Algorithm and Clustering

Anglický název

Traffic Similarity Observation Using a Genetic Algorithm and Clustering

Druh

Článek WoS

Originální abstrakt

This article presents a technique of traffic similarity observation based on the statistical method of survival analysis by using a genetic algorithm. The basis comes from the k-means clustering algorithm. The observed traffic is collected from different network sources by using a NetFlow collector. The purpose of this technique is to propose a process of finding spread malicious traffic, e.g., ransomware, and considers the possibility of implementing a genetic-based algorithm. In our solution, a chromosome is created from clustering k-means centers, and the Davies–Bouldin validity index is used as the second fitness value in the solution.

Anglický abstrakt

This article presents a technique of traffic similarity observation based on the statistical method of survival analysis by using a genetic algorithm. The basis comes from the k-means clustering algorithm. The observed traffic is collected from different network sources by using a NetFlow collector. The purpose of this technique is to propose a process of finding spread malicious traffic, e.g., ransomware, and considers the possibility of implementing a genetic-based algorithm. In our solution, a chromosome is created from clustering k-means centers, and the Davies–Bouldin validity index is used as the second fitness value in the solution.

Klíčová slova

Clustering algorithms, Evolutionary computation, IP networks, Information security, Programming.

Klíčová slova v angličtině

Clustering algorithms, Evolutionary computation, IP networks, Information security, Programming.

Autoři

OUJEZSKÝ, V.; HORVÁTH, T.

Rok RIV

2019

Vydáno

11.11.2018

Nakladatel

MDPI

Místo

Switzerland

ISSN

2227-7080

Periodikum

Technologies

Svazek

6

Číslo

4

Stát

Švýcarská konfederace

Strany od

1

Strany do

10

Strany počet

10

URL

https://www.mdpi.com/2227-7080/6/4/103

Plný text v Digitální knihovně

http://hdl.handle.net/11012/137212

BibTex

@article{BUT138952,
  author="Václav {Oujezský} and Tomáš {Horváth}",
  title="Traffic Similarity Observation Using a Genetic Algorithm and Clustering
",
  journal="Technologies",
  year="2018",
  volume="6",
  number="4",
  pages="1--10",
  doi="10.3390/technologies6040103",
  url="https://www.mdpi.com/2227-7080/6/4/103"
}

Dokumenty

technologies-06-00103