A Survey on Artificial Intelligence in Malware as Next-Generation Threats

Cong Truong Thanh, Ivan Zelinka
<span title="2019-12-20">2019</span> <i title="Brno University of Technology"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/doavyal3dnht7e2vzue6mfzmti" style="color: black;">The MENDEL Soft Computing journal : International Conference on Soft Computing MENDEL</a> </i> &nbsp;
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:
more &raquo; ... evasion techniques, autonomous malware, AI against itself, and applying bio-inspired computation and swarm intelligence.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.13164/mendel.2019.2.027">doi:10.13164/mendel.2019.2.027</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/okjpoz6uxnf4hgqbqsa4qxrare">fatcat:okjpoz6uxnf4hgqbqsa4qxrare</a> </span>
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