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Time Detection of Malware Threads

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F21%3A63534458" target="_blank" >RIV/70883521:28140/21:63534458 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-90321-3_85" target="_blank" >http://dx.doi.org/10.1007/978-3-030-90321-3_85</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-90321-3_85" target="_blank" >10.1007/978-3-030-90321-3_85</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Time Detection of Malware Threads

  • Original language description

    Malware is an unwanted software that performs actions in computers or computer networks, which users might disagree with. One of the worst types of malware is ransomware that affects the victim’s data by modifying, deleting, or blocking the access to them. Frequent malware attacks on organizations led to a change in malware detection from external identification (companies were dependent on other organizations or their products) to internal identification. Based on this, the time needed to detect ransomware (dwell time) has significantly decreased. Nowadays, internal detection prevails over the external one. The dwell time differs based on the continent. In the paper, the malware and ransomware descriptions with their variants are provided, and the concept of dwell time is described. Moreover, attention is not only paid to the reduction of dwell time within the recent years but also to how the most used vector attacks are connected.

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Networks and Systems

  • ISBN

    978-303090320-6

  • ISSN

    23673370

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1029-1034

  • Publisher name

    Springer Science and Business Media Deutschland GmbH

  • Place of publication

    Berlín

  • Event location

    Zlín

  • Event date

    Oct 1, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article