Portable Blind Cloud Storage System for Secure Multi-Device Data Access Using AI-Based Threat Detection

The proposed Portable Blind Cloud Storage System provides a secure and privacy-preserving solution for multi-device cloud data access. The system combines cloud computing, encryption techniques, secure authentication, and Artificial Intelligence-based threat detection to enhance cloud security and user privacy.   AES-256 encryption and RSA key exchange ensure confidentiality and secure communication, while the blind storage architecture prevents cloud providers from accessing original user data. The integration of AI-based anomaly detection improves intelligent monitoring by identifying suspicious login attempts and abnormal access patterns in real time. The proposed system enhances secure multi-device synchronization, scalability, and overall protection against cyber threats. This work provides a strong foundation for future AI-driven secure cloud applications and advanced cybersecurity solutions. Furthermore, the proposed framework improves user trust and reliability in cloud environments by providing intelligent security monitoring and secure data accessibility across multiple platforms. The combination of cloud computing, cybersecurity, and AI technologies makes the system suitable for modern digital applications such as enterprise storage, healthcare systems, banking services, and secure personal cloud management. Future enhancements can further strengthen the system through advanced AI models, blockchain integration, and privacy-preserving intelligent computing techniques.

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