Supporting Authorized Duplicate Check in Hybrid Cloud Architecture Using IoT
Abstract
Data sharing and storage have become much more convenient because of the cloud's growing popularity and widespread use. When exchanging data with plenty of participants, consideration is given to issues such as data integrity, efficiency, and data owner privacy. One of the biggest issues facing cloud storage services is handling the ever-growing amount of data being stored on the cloud. In the world of cloud computing, deduplication is a well-known data compression technology that removes multiple copies of repeated data from cloud storage, thereby making data management more scalable. With the integration of Internet of Things devices generating vast amounts of data, the importance of efficient data management has further increased. Even though data deduplication greatly improves security and privacy, users’ sensitive data remain vulnerable to both insider and outsider attacks. Convergent encryption protects the confidentiality of data while enabling deduplication. Even though they offer confidentiality, classic elimination platforms based on convergent encryption do not support duplicate checks based on differential privileges. This work introduces the concept of authorized data deduplication, which includes user privilege differences in the detection of duplicates to safeguard data security. In addition to the data itself, deduplication systems and users with varied privileges are considered during duplicate checks. Differential privilege keys are used for file encryption to provide increased security. Users may run the duplication check only on files that are designated with the appropriate access credentials. Through data auditing and the assistance of a third-party auditor, the user can confirm that their files are present in the cloud following deduplication. Additional auditor checks validate the file that was uploaded. As a result, this article uses auditing and deduplication techniques to benefit the user and storage provider, respectively.
Fields of Study & Subjects
Cloud Data Security Solutions
Cryptography and Data Security
Advanced Data Storage Technologies
Publication details
- Journal / source
- Wiley eBooks
- Pages
- 17–29
- Publication date
- 27 February 2026
- Language
- EN
- Document type
- Book chapter