Akademik Veri Yönetim Sistemi
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, cilt.28, sa.8, 2025 (SCI-Expanded, Scopus)
Cloud computing offers an ideal solution for reducing costs, time, and complexity in data management, but data security remains a critical concern. This study proposes a novel approach that combines partial homomorphic encryption (PHE) with digital watermarking to improve the authenticity and integrity of data in cloud environments. Our method employs a chaotic map for key generation, ensuring unique and non-duplicate keys, and utilizes the One-Time Pad (OTP) principle with probabilistic encryption for data protection. The watermarking technique, based on linear interpolation, enables tampering detection without compromising data privacy. We implement this approach using a symmetric linear scheme to achieve homomorphic properties, allowing specific operations on encrypted data without decryption. Experimental results demonstrate that our method achieves lower computational complexity compared to existing approaches while maintaining high levels of security. The proposed technique supports key arithmetic operations, making it particularly suitable for secure data processing in cloud-based applications. This research contributes to the field of secure cloud computing by offering a practical solution that balances security, functionality, and efficiency.