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Artificial Intelligence for Enhanced security system in Future 5G and 6G Technologies

  • S. Maheswari
  • , M. Kanimozhi
  • , J. Sureshbabu
  • , Nidal Al Said
  • , V. Soundappan
  • , J. Navarajan
  • Saveetha Institute of Medical and Technical Sciences (Deemed to be University)
  • Karpagam Academy of Higher Education
  • PARK AMC Polytechnic College
  • Mahendra Institute of Technology
  • Panimalar Engineering College

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

5G technology has advanced high-speed connectivity while creating new security dangers because of expanded attack paths and IoT integration. It uses artificial intelligence to develop a security solution that combines advanced network monitoring with automatic training updates and versatile access security. AI-driven security framework achieved 98.5% accuracy, 96.4% recall, and an F1-score of 97.1% when tested with UNSW-NB15, CASIA Biometrics, and OMNeT++ synthetic data. The system showed response times under 5.2 milliseconds for real-time threats and used 85.3% less energy than other security systems released from 2022 through 2024. The tests revealed that the system detected threats better while remaining more flexible with its operations. It shows that this security framework offers promising solutions to next-generation network security challenges while remaining efficient and easy to scale.

Original languageEnglish
Title of host publication2025 Global Conference in Emerging Technology, GINOTECH 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331507756
DOIs
StatePublished - 2025
Event2025 IEEE International Global Conference in Emerging Technology, GINOTECH 2025 - Pune, India
Duration: 9 May 202511 May 2025

Publication series

Name2025 Global Conference in Emerging Technology, GINOTECH 2025

Conference

Conference2025 IEEE International Global Conference in Emerging Technology, GINOTECH 2025
Country/TerritoryIndia
CityPune
Period9/05/2511/05/25

Keywords

  • AI-Powered Intrusion Detection Unit
  • Artificial Intelligence
  • Centralized Federated Aggregator
  • Cloud-Based Secure Core
  • Real-Time Threat Manager

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