Healthcare Edge Computing and Medical Device Integration System: Deployment, Scalability, and Maintenance Using DevOps
This chapter explores the integration of AI and quantum computing in cybersecurity, focusing on their combined potential to address evolving cyber threats. The primary objective is to analyze how quantum computing enhances AI-driven security frameworks, strengthening encryption, threat detection, and risk mitigation. The study targets cybersecurity professionals, researchers, and technology policymakers. A systematic review of existing literature, case studies, and comparative analysis of traditional and quantum-enhanced AI security models form the methodological foundation. Findings reveal that while AI-driven cybersecurity solutions offer robust predictive analytics, quantum computing significantly improves cryptographic resilience against emerging cyber threats. The chapter concludes that the convergence of these technologies will redefine cybersecurity paradigms, necessitating advancements in quantum-safe algorithms and regulatory frameworks. The implications emphasize the urgent need for research and policy adaptation to leverage these technologies for secure digital systems.
| Year of publication: |
2025
|
|---|---|
| Authors: | Babu, C. V. Suresh ; Yukesh, Kumar P. ; Saravanan, S. ; Harish, R. |
| Published in: |
Building Data-Driven Edge Systems for Business Success. - IGI Global Scientific Publishing, ISBN 9798337311494. - 2025, p. 225-252
|
Saved in:
Saved in favorites
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