Obfuscated Malware Detection: Impacts on Detection Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020768" target="_blank" >RIV/62690094:18450/23:50020768 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-42430-4_5" target="_blank" >http://dx.doi.org/10.1007/978-3-031-42430-4_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-42430-4_5" target="_blank" >10.1007/978-3-031-42430-4_5</a>
Alternative languages
Result language
angličtina
Original language name
Obfuscated Malware Detection: Impacts on Detection Methods
Original language description
Obfuscated malware poses a challenge to traditional malware detection methods as it uses various techniques to disguise its behavior and evade detection. This paper focuses on the impacts of obfuscated malware detection techniques using a variety of detection methods. Furthermore, this paper discusses the current state of obfuscated malware, the methods used to detect it, and the limitations of those methods. The impact of obfuscation on the effectiveness of detection methods is also discussed. An approach for the creation of advanced detection techniques based on machine learning algorithms is offered, along with an empirical examination of malware detection performance assessment to battle obfuscated malware. Overall, this paper highlights the importance of staying ahead of the constantly evolving threat landscape to safeguard computer networks and systems. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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
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
Communications in Computer and Information Science
ISBN
978-3-031-42429-8
ISSN
1865-0929
e-ISSN
1865-0937
Number of pages
12
Pages from-to
55-66
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
Cham
Event location
Phuket
Event date
Jul 24, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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