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...

Full description

Bibliographic Details
Main Authors: Thanh Cong Truong, Quoc Bao Diep, Ivan Zelinka
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/3/410
id doaj-f6197d1bc2e04eccade6313cfbb6edcd
record_format Article
spelling 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
_version_ 1724852472642535424