HARNESSING ARTIFICIAL INTELLIGENCE FOR ENHANCED CYBER SECURITY

Effective cybersecurity management requires significant automation to handle the complexity and volume of information involved. Traditional technologies with fixed implementations are often inadequate for combating security threats. Machine learning methods in AI offer a solution to this challenge. This paper presents an overview of various AI applications in cybersecurity and assesses their potential to strengthen defense mechanisms. Our review reveals that valuable AI tools are already in use for network protection and other cybersecurity areas through neural networks. However, some cybersecurity challenges can only be effectively addressed by employing AI strategies. For example, comprehensive data is essential for strategic decision-making, and the need for logical decision support remains a critical unresolved issue in cybersecurity.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-29
DOI
https://doi.org/10.5281/zenodo.14807893
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

HARNESSING ARTIFICIAL INTELLIGENCE FOR ENHANCED CYBER SECURITY

Zenodo (CERN European Organization for Nuclear Research)
Network Security and Intrusion Detection
article

HARNESSING ARTIFICIAL INTELLIGENCE FOR ENHANCED CYBER SECURITY

article en

Abstract

Effective cybersecurity management requires significant automation to handle the complexity and volume of information involved. Traditional technologies with fixed implementations are often inadequate for combating security threats. Machine learning methods in AI offer a solution to this challenge. This paper presents an overview of various AI applications in cybersecurity and assesses their potential to strengthen defense mechanisms. Our review reveals that valuable AI tools are already in use for network protection and other cybersecurity areas through neural networks. However, some cybersecurity challenges can only be effectively addressed by employing AI strategies. For example, comprehensive data is essential for strategic decision-making, and the need for logical decision support remains a critical unresolved issue in cybersecurity.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 60%
Network Security and Intrusion Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.