Scalable Deduplication for Privacy-Preserving Media Sharing in Mobile Cloud Environments

Abstract

To improve the efficiency of outsourced storage systems, secure deduplication mechanisms have been introduced. Among these, AES-based encryption is widely used, where packet-level messages are encrypted using a key derived from the message itself. This enables the detection of duplicate data, since identical plaintexts generate identical ciphertexts under the same deterministic setting. AES also supports combined encryption functionality and provides strong security assurances. Cloud computing has emerged as a practical solution for storing and sharing massive volumes of data over networks. Although several approaches have been proposed to ensure data security in distributed storage environments, many of them are closely tied to ciphertext-based techniques. Therefore, this paper presents a cloud-based data collection, sharing, and controlled dissemination scheme designed to preserve multi-owner privacy. In the proposed model, the data owner can securely share sensitive information with a group of authorized users through the cloud.