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Updated: Jan 14, 2026

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A novel adaptive transformer based quantum intrusion detection system for software defined networks.

C M Nalayini1, T R Soumya2, S D Lalitha3

  • 1Department of Information Technology, Velammal Engineering College, Chennai, 600066, India. nalayinicm13@gmail.com.

Scientific Reports
|October 21, 2025
PubMed
Summary

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This study introduces an Adaptive Transformer-based Quantum Intrusion Detection System (ATQ-IDS) for Software Defined Networks (SDNs). It achieves high accuracy in detecting network intrusions with real-time adaptability.

Area of Science:

  • Cybersecurity
  • Network Security
  • Artificial Intelligence

Background:

  • Software Defined Networks (SDNs) face complex and evolving cyber threats.
  • Current intrusion detection systems struggle with the increasing complexity of network traffic and attack surfaces.

Purpose of the Study:

  • To propose a novel Adaptive Transformer-based Quantum Intrusion Detection System (ATQ-IDS) for enhanced SDN security.
  • To improve intrusion detection accuracy, adaptability, and real-time performance in SDNs.

Main Methods:

  • Quantum-Inspired Evolutionary Selection (QIES) for feature reduction.
  • Transformer-Spatial Temporal Network (TSTN) for traffic pattern analysis.
  • Hierarchical Reinforcement Learning (HRL) and Federated Learning (FL) for adaptive and decentralized detection.
Keywords:
Deep Q-NetworksDeep learningHybrid reinforcement learningIntrusion detectionSoftware defined networksTemporal-Spatial transformer network (TSTN)

Related Experiment Videos

Last Updated: Jan 14, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

1.1K

Main Results:

  • Achieved state-of-the-art accuracy of 99.84%.
  • Demonstrated a low false negative rate of 0.12%.
  • Inference time was recorded below 7 milliseconds.

Conclusions:

  • The ATQ-IDS architecture offers high accuracy, adaptability, and real-time capabilities for SDN security.
  • The integration of QIES, TSTN, HRL-IDS, and FL-IDS provides a robust solution for modern network security challenges.