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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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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
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