All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Enhancing DeCrypto: Finding Cryptocurrency Miners Based on Periodic Behavior

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F23%3A10133612" target="_blank" >RIV/63839172:_____/23:10133612 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21240/23:00369773

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/10327904" target="_blank" >https://ieeexplore.ieee.org/document/10327904</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/CNSM59352.2023.10327904" target="_blank" >10.23919/CNSM59352.2023.10327904</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Enhancing DeCrypto: Finding Cryptocurrency Miners Based on Periodic Behavior

  • Original language description

    While the popularity of cryptocurrencies and the whole industry&apos;s value are rising, the number of threat actors who use illegal &quot;coin miner mal ware&quot; is increasing as well. The threat actors commonly use computational resources of companies, research and educational institutions, or end users. In this paper, we analyzed the long-term periodic behavior of the cryptocurrency miners communicating in computer networks. We propose a novel method for cryptominers detection using specially designed periodicity features. The detection algorithm is based on the mathematical detection of periodic Flow time series (FTS) and feature mining. Altogether with the Machine Learning technique, the resulting system achieves high-precision performance. Furthermore, our approach enhances a flow-based cryptominers detection system DeCrypto to further improve its reliability and feasibility for high-speed networks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/VJ02010024" target="_blank" >VJ02010024: Flow-based Encrypted Traffic Analysis</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2023 19th International Conference on Network and Service Management (CNSM)

  • ISBN

    978-3-903176-59-1

  • ISSN

    2165-963X

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    Piscataway , USA

  • Event location

    Niagara Falls, Kanada

  • Event date

    Oct 30, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article