Adaptive Multi-Layered Cloud Security Framework Leveraging Artificial Intelligence, Quantum-Resistant Cryptography, and Systems for Robust Protection in Optical and Healthcare

Abstract

In the face of growing reliance on cloud computing, robust security and data protection are paramount concerns, particularly in the domains of optical and healthcare. Traditional cryptographic methods are vulnerable in the post-quantum era, necessitating advanced security frameworks. This paper presents an adaptive multi-layered cloud security framework leveraging artificial intelligence, quantum-resistant cryptography, and systems to ensure comprehensive protection in cloud environments within optical and healthcare sectors. The framework encompasses data encryption, access control, and intrusion detection mechanisms, bolstered by advanced decision-making processes for threat detection and response. The integration of artificial intelligence and quantum-resistant cryptographic techniques enhances adaptability and resilience against emerging threats. This adaptive multi-layered cloud security framework offers a comprehensive, adaptable, and efficient solution for securing cloud infrastructures, safeguarding sensitive data, and mitigating risks associated with the post-quantum era.