Quantum-Enhanced Edge Computing for Robust Cyber Threat Detection

View Sample PDF

Author(s): S. Anand (Infant Jesus College of Engineering, India)
Copyright: 2026
Pages: 34
Source title: Advancing Cyber Threat Detection Through Quantum and Edge Computing
Source Author(s)/Editor(s): Shenson Joseph (University of North Dakota, USA), Kishor Kumar Reddy C. (Stanley College of Engineering and Technology for Women, India), Asegul Hulus (Association for Computing Machinery, Cyprus)and Tatjana Sibalija (Union University, Serbia)
DOI: 10.4018/979-8-3373-3551-3.ch003

Keywords: Cyber and Network Security / Information Science Reference / Knowledge Management and Library Science / Quantum Information & Computing

Purchase

View Quantum-Enhanced Edge Computing for Robust Cyber Threat Detection on the publisher's website for pricing and purchasing information.

Abstract

The growing complexity of cyber threats has surpassed traditional detection systems, especially where real-time response and distributed protection are vital. This chapter explores a hybrid Quantum-Edge framework for cyber threat detection. Quantum Computing's parallelism and advanced data processing capabilities complement Edge Computing's low-latency, decentralized analysis. Our framework integrates quantum feature transformation, quantum-enhanced anomaly detection, and federated learning on edge nodes. Using Qiskit, simulated attacks, and real-time edge processing, we demonstrate improved detection accuracy, lower false positives, and faster responses. We also propose future directions in quantum-resilient, privacy-preserving, and scalable cybersecurity solutions.

The IRMA Community

Research IRM

Quantum-Enhanced Edge Computing for Robust Cyber Threat Detection

Purchase

Abstract

Related Content

IRMA Sponsors