A Survey on Artificial Intelligence in Malware as Next-Generation Threats
dc.contributor.author | Thanh, Cong Truong | |
dc.contributor.author | Zelinka, Ivan | |
dc.coverage.issue | 2 | cs |
dc.coverage.volume | 25 | cs |
dc.date.accessioned | 2020-05-05T07:21:11Z | |
dc.date.available | 2020-05-05T07:21:11Z | |
dc.date.issued | 2019-12-20 | cs |
dc.description.abstract | Recent developments in Artificial intelligence (AI) have a vast transformative potential for both cybersecurity defenders and cybercriminals. Anti-malware solutions adopt intelligent techniques to detect and prevent threats to the digital space. In contrast, cybercriminals are aware of the new prospects too and will probably try to use it in their activities. This survey aims at providing an overview on the way artificial intelligence can be used to power a malicious program that is: intelligent evasion techniques, autonomous malware, AI against itself, and applying bio-inspired computation and swarm intelligence. | en |
dc.format | text | cs |
dc.format.extent | 27-34 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Mendel. 2019 vol. 25, č. 2, s. 27-34. ISSN 1803-3814 | cs |
dc.identifier.doi | 10.13164/mendel.2019.2.027 | en |
dc.identifier.issn | 2571-3701 | |
dc.identifier.issn | 1803-3814 | |
dc.identifier.uri | http://hdl.handle.net/11012/187001 | |
dc.language.iso | en | cs |
dc.publisher | Institute of Automation and Computer Science, Brno University of Technology | cs |
dc.relation.ispartof | Mendel | cs |
dc.relation.uri | https://mendel-journal.org/index.php/mendel/article/view/105 | cs |
dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license | en |
dc.rights.access | openAccess | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0 | en |
dc.subject | Artificial intelligence | en |
dc.subject | machine learning | en |
dc.subject | malware | en |
dc.subject | computer virus | en |
dc.subject | security | en |
dc.subject | swarm intelligence | en |
dc.title | A Survey on Artificial Intelligence in Malware as Next-Generation Threats | en |
dc.type.driver | article | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.faculty | Fakulta strojního inženýrství | cs |
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