Delegated Privacy Preserving Audit with Variable Block Size for Resource-Constrained IoT Devices

作者：Lei Zhou, Tian Wang, Chunfei Pan, Yingna Su, Xuan Chen, Chenlu Zhuansun · 发表于：2025 5th International Conference on Intelligent Technology and Embedded Systems (ICITES) · 年份：2025 · DOI：10.1109/icites66466.2025.11274297

With the rapid expansion of the Internet of Things (IoT), edge devices generate massive amounts of data that traditional platforms cannot manage. Cloud computing offers a solution by providing cloud storage and management services, yet data integrity remains a critical challenge. Existing cloud auditing proposals are inefficient for low-performance devices due to costly local tag computations. Offloading these tasks to fog nodes presents a viable solution. Our proposal designs an authenticated tag based on identity-based signatures, allowing fog nodes to handle the computational costs of tag generation and audit interactions without requiring local devices to remain online at all times. Considering that fog nodes may behave dishonestly, we leverage blockchain technology to store audit logs for user checking. To protect data privacy, devices use a hash of the plaintext as an encryption key to convert plaintext into ciphertext locally. Additionally, during file partitioning, we employ variable-sized data segments for each block to overcome the limitations of fixed-block approaches commonly used in auditing schemes. Security analysis confirms that the scheme meets the requirements of correctness, audit soundness, privacy preserving, identity anonymity, and precise incentives. Experimental results evaluate the effectiveness of the proposed scheme.