Artificial Intelligence and Machine Learning Algorithms Are Used to Detect and Prevent Cyber Threats as Well as Their Potential Impact on the Future of Cybersecurity Practices

As many devices connect to the internet and people save more information on the cloud and increase their usage of digital communication, the threat level on the information sphere has increased significantly. With the increase of device connectivity and use of money transactions cyber threats have become more sophisticated than ever. Conventional discrete security policies are ineffective to address the behavioral and constantly changing nature of today’s cybersecurity threats such as zero-day exploits, APTs or ransomware. In this light, AI and ML are considered strategic technologies, which define cutting-edge, intelligent, adaptive as well as scalable cybersecurity solutions.

Authors

Publication Details

Journal
International Journal of Computer Science and Information Technology
Published
2025-02-27
DOI
https://doi.org/10.5121/ijcsit.2025.17101
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
1.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence and Machine Learning Algorithms Are Used to Detect and Prevent Cyber Threats as Well as Their Potential Impact on the Future of Cybersecurity Practices

Md. Al Amin
1 citations
International Journal of Computer Science and Information Technology
Network Security and Intrusion Detection
1.49
article

Artificial Intelligence and Machine Learning Algorithms Are Used to Detect and Prevent Cyber Threats as Well as Their Potential Impact on the Future of Cybersecurity Practices

Md. Al Amin
article en
1 citations

Abstract

As many devices connect to the internet and people save more information on the cloud and increase their usage of digital communication, the threat level on the information sphere has increased significantly. With the increase of device connectivity and use of money transactions cyber threats have become more sophisticated than ever. Conventional discrete security policies are ineffective to address the behavioral and constantly changing nature of today’s cybersecurity threats such as zero-day exploits, APTs or ransomware. In this light, AI and ML are considered strategic technologies, which define cutting-edge, intelligent, adaptive as well as scalable cybersecurity solutions.

International Journal of Computer Science and Information TechnologyVol. 17(1)
Openalex Percentile: Top 20%
Network Security and Intrusion Detection
1.49
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.