Abstract :

Cloud Computing Can Be One Of The Greatest Discoveries In The Modern Computer World. It Offers A Cost Effective Option By Reducing The Enormous Preliminary Expenditure Towards Hardware Infrastructure And Computational Capability. Fog Computing Reduces Latency In Edge Devices; This Improves The Cease Users’ Response Time In IoT Applications. Nevertheless, The Major Part Of The People Of IoT Devices Are Useful Resource-confined And Numerous Gadgets Are Vulnerable To Cyberattacks. Cyber-attacks Such As Bottleneck, DoS, DOS And Botnet, Remain Significant Threat In The IoT Environment. Botnets Are Presently The Greatest Threat In The Internet World. A Collection Of Compromised Structures Linked To The Net And Utilizing Adversary In An Attempt To Carry Out Unauthorized Adverse Functions Is Known As Botnet. The System Can Be Penetrated By A Botnet That Will Exfiltrate Facts. It Is More Than Capable Of Mounting An Attack Such As Phishing And Spamming Among Others. To Handle The Urgent Issue We Offer A Novel Botnet Attack Detection Approach Suitable For Fog Computing Environments And Utilize The Programmable Nature Of The Software-defined Network Framework To Prevent The Attack. We Closely Examined The Ultra-modern Dataset For Our Cautioned Technique, Traditional And Extended Performance Assessment Metrics As Well As Modern Deep Learning Models. To Support The Overall Performance Presentation, Our Results Are Cross Validated. The Recommended Generation Outperforms Its Predecessors In The Recognition Of 99.98% Of Multifaceted Sophisticated Bot Attacks. In Addition, The Proposed Solution By Us Is Of 0.022 Milliseconds In Length, Which Reflects Excellent Speed Efficiency Effects

Published:

09-6-2025

Issue:

Vol. 25 No. 6 (2025)

Page Nos:

33-41

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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