Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56884
Volume:
10 |
2 |
Feb 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The landscape of cyber-attacks has changed due, to the upward push of digitalization and interconnected structures. This necessitates the need for revolutionary techniques to emerge as aware of and mitigate these threats at a degree. This studies delves into the correlation amongst cyber security and artificial intelligence (AI) with a focus on how AI can decorate detection of cyber-attacks via assessment, prediction and different strategies. By harnessing machine mastering, neural networks and records analytics predictive models driven with the useful resource of AI have emerged as an approach to deal with the ever evolving demanding situations posed through cyber threats. The number one goal of this observe is to look at the effectiveness of AI powered prediction fashions, in cyber security. It ambitions to evaluate how nicely those AI based systems carry out as compared to cyber security techniques emphasizing their capability to proactively locate and mitigate cyber threats as a way to minimize their effect
KEYWORDS
Publication Date
2/24/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...