Impact Factor: 7.883
Submit Paper
Volume 12, Issue 6 (June 2026)

Ai-powered Intelligent Framework For Detection And Prevention Of Cybersecurity Attacks Using Machine Learning Algorithms

Impact Factor
7.883
Call For Paper
Volume 12 Issue 08

August 2026

Download Paper Format
Paper Format
Copyright Form
Copy Right Format
Under License Of
IJSART License
Creative Commons Attribution-NonCommercial
4.0 International License
Share on:

Author(s)

Gokul G Ms. Mahalakshimi

Abstract

This Paper Proposes An AI-powered Cybersecurity Framework Integrating Machine Learning, Deep Neural Networks, Real-time Network Monitoring, Automated Alerting, And Dashboard-driven Response For Enterprise Threat Detection And Prevention. This Implementation-oriented Paper Discusses Architecture Design, Module Interactions, Workflow, Deployment Considerations, Performance Evaluation, And Practical Enterprise Applicability. The Framework Supports Dashboard Visualization, Automated SOC Notification, Anomaly Classification, And Response Orchestration In Operational Environments.

Keywords

Intrusion Detection Anomaly Detection SOC Threat Intelligence. This Implementation-oriented Paper Discusses Architecture Design Module Interactions Workflow Deployment Considerations Performance Evaluation And Practical Enterprise Applicability. T

Paper ID

IJSARTV12I6105668

Publication Date

June 11, 2026

Research Area

Computer Applications

Download Full Article

Submit Your Paper to IJSART

Join the global research community with IJSART. Submit your paper, share your work, and gain worldwide recognition!

Submit Your Paper