0000000000882079

AUTHOR

Stephen R. Gulliver

showing 1 related works from this author

Artificial Intelligence for Cybersecurity: A Systematic Mapping of Literature

2020

Due to the ever-increasing complexities in cybercrimes, there is the need for cybersecurity methods to be more robust and intelligent. This will make defense mechanisms to be capable of making real-time decisions that can effectively respond to sophisticated attacks. To support this, both researchers and practitioners need to be familiar with current methods of ensuring cybersecurity (CyberSec). In particular, the use of artificial intelligence for combating cybercrimes. However, there is lack of summaries on artificial intelligent methods for combating cybercrimes. To address this knowledge gap, this study sampled 131 articles from two main scholarly databases (ACM digital library and IEEE…

Artificial intelligence and cybersecuritycybersecurityGeneral Computer ScienceComputer scienceinformation securitysystematic reviewsprotocols02 engineering and technologyIntrusion detection systemtekoälyComputer securitycomputer.software_genre01 natural sciencesDomain (software engineering)systematic reviewGeneral Materials Sciencekirjallisuuskatsauksettietoturvakyberturvallisuussystemaattiset kirjallisuuskatsauksettietoverkkorikoksetkyberrikollisuusbusiness.industry010401 analytical chemistryGeneral Engineeringartificial intelligence021001 nanoscience & nanotechnology0104 chemical sciencesSupport vector machinekoneoppiminenmachine learningcomputer crimeArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringSystematic mappingIntrusion prevention system0210 nano-technologybusinesscomputerlcsh:TK1-9971Qualitative researchIEEE Access
researchProduct