Abstract: Generalized deduplication is an effective technique to achieve secure deduplication for cloud images. However, the existing generalized deduplication technique only supports precise deduplication and cannot be integrated with encryption technique for images. Furthermore, image encryption techniques impose substantial computational overhead on clients. To deal with the above challenges, we propose a fuzzy generalized deduplicationbased lightweight secure cloud storage method for images. Firstly, the integer wavelet transform is applied to extract the low-frequency components as bases and high-frequency ones as deviations. By proposing a lightweight encryption scheme based on XOR, the confidentiality protection for images is effectively integrated with the generalized deduplication technique. In addition, the proposed scheme also supports fuzzy deduplication for deviations, ensuring that the cloud service provider only stored a single copy of highly similar deviations, thereby achieving fuzzy generalized deduplication for cloud images. Finally, we conduct experiments on related image datasets. The results show that the proposed scheme significantly improves both communication and storage efficiency while ensuring security.

Key words: image deduplication, side channel attacks, cloud storage, fuzzy deduplication, image encryption