Artificial Intelligence in the Cyber Domain: Offense and Defense
Artificial intelligence techniques have grown rapidly in recent years, and their applications in practice can be seen in many fields, ranging from facial recognition to image analysis. In the cybersecurity domain, AI-based techniques can provide better cyber defense tools and help adversaries improv...
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2020-03-01
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Online Access: | https://www.mdpi.com/2073-8994/12/3/410 |
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doaj-f6197d1bc2e04eccade6313cfbb6edcd2020-11-25T02:25:12ZengMDPI AGSymmetry2073-89942020-03-0112341010.3390/sym12030410sym12030410Artificial Intelligence in the Cyber Domain: Offense and DefenseThanh Cong Truong0Quoc Bao Diep1Ivan Zelinka2Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba, 708 00 Ostrava, Czech RepublicFaculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba, 708 00 Ostrava, Czech RepublicFaculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba, 708 00 Ostrava, Czech RepublicArtificial intelligence techniques have grown rapidly in recent years, and their applications in practice can be seen in many fields, ranging from facial recognition to image analysis. In the cybersecurity domain, AI-based techniques can provide better cyber defense tools and help adversaries improve methods of attack. However, malicious actors are aware of the new prospects too and will probably attempt to use them for nefarious purposes. This survey paper aims at providing an overview of how artificial intelligence can be used in the context of cybersecurity in both offense and defense.https://www.mdpi.com/2073-8994/12/3/410cybersecurityartificial intelligencemachine learningdeep learningbio-inspired computingsystems security |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Thanh Cong Truong Quoc Bao Diep Ivan Zelinka |
spellingShingle |
Thanh Cong Truong Quoc Bao Diep Ivan Zelinka Artificial Intelligence in the Cyber Domain: Offense and Defense Symmetry cybersecurity artificial intelligence machine learning deep learning bio-inspired computing systems security |
author_facet |
Thanh Cong Truong Quoc Bao Diep Ivan Zelinka |
author_sort |
Thanh Cong Truong |
title |
Artificial Intelligence in the Cyber Domain: Offense and Defense |
title_short |
Artificial Intelligence in the Cyber Domain: Offense and Defense |
title_full |
Artificial Intelligence in the Cyber Domain: Offense and Defense |
title_fullStr |
Artificial Intelligence in the Cyber Domain: Offense and Defense |
title_full_unstemmed |
Artificial Intelligence in the Cyber Domain: Offense and Defense |
title_sort |
artificial intelligence in the cyber domain: offense and defense |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2020-03-01 |
description |
Artificial intelligence techniques have grown rapidly in recent years, and their applications in practice can be seen in many fields, ranging from facial recognition to image analysis. In the cybersecurity domain, AI-based techniques can provide better cyber defense tools and help adversaries improve methods of attack. However, malicious actors are aware of the new prospects too and will probably attempt to use them for nefarious purposes. This survey paper aims at providing an overview of how artificial intelligence can be used in the context of cybersecurity in both offense and defense. |
topic |
cybersecurity artificial intelligence machine learning deep learning bio-inspired computing systems security |
url |
https://www.mdpi.com/2073-8994/12/3/410 |
work_keys_str_mv |
AT thanhcongtruong artificialintelligenceinthecyberdomainoffenseanddefense AT quocbaodiep artificialintelligenceinthecyberdomainoffenseanddefense AT ivanzelinka artificialintelligenceinthecyberdomainoffenseanddefense |
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