Artificial Intelligence in the Cyber Domain: Offense and Defense

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10245622" target="_blank" >RIV/61989100:27240/20:10245622 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27740/20:10245622

Result on the web

<a href="https://www.mdpi.com/2073-8994/12/3/410" target="_blank" >https://www.mdpi.com/2073-8994/12/3/410</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/sym12030410" target="_blank" >10.3390/sym12030410</a>

Result language

angličtina

Original language name

Artificial Intelligence in the Cyber Domain: Offense and Defense

Original language 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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10200 - Computer and information sciences

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Symmetry

ISSN

2073-8994

e-ISSN

—

Volume of the periodical

12

Issue of the periodical within the volume

3

Country of publishing house

CH - SWITZERLAND

Number of pages

24

Pages from-to

—

UT code for WoS article

000525824300085

EID of the result in the Scopus database

—