A data security protection method for the Internet of Things based on secret key aggregation and ciphertext attribute encryption
Yan Bing Tang, Guofeng He · Journal of Cyber Security Technology · 2024
This study addresses data security challenges in the Internet of Things by proposing a novel protection method that integrates secret key aggregation and ciphertext attribute encryption. The method enables data owners to generate ciphertexts and authorized users to access data using trapdoors, with cloud servers verifying access through algorithmic checks. The decryption process is optimized through the implementation of ciphertext attribute encryption, which effectively offloads the majority of computational tasks to fog nodes. The simulation results showed that during the query phase, the computation time of the key aggregation protection model increased from 0.1 × 108ns to over 3.5 × 108ns. As the number of keywords increased, the total running time of Policy-Protection-Detection-Response increased from 0.1 × 109ns to 0.9 × 109ns. The total running time of the secret key aggregation protection model had increased from 0.1 × 109ns to 1.6 × 109ns. Experiments have shown that secret key aggregation and attribute optimization protection models can effectively ensure the security of user data in the Internet of Things. In comparison to analogous network security models, this optimization model exhibits reduced computational costs and a greater number of advantages in practical applications.