A Novel Fingerprinting Technique for Data Storing and Sharing through Clouds

Fatima, Mehvish; Nisar, Muhammad Wasif; Rashid, Junaid; Kim, Jungeun; Kamran, Muhammad; Hussain, Amir

Abstract

With the emerging growth of digital data in information systems, technology faces the challenge of knowledge prevention, ownership rights protection, security, and privacy measurement of valuable and sensitive data. On-demand availability of various data as services in a shared and automated environment has become a reality with the advent of cloud computing. The digital fingerprinting technique has been adopted as an effective solution to protect the copyright and privacy of digital properties from illegal distribution and identification of malicious traitors over the cloud. Furthermore, it is used to trace the unauthorized distribution and the user of multimedia content distributed through the cloud. In this paper, we propose a novel fingerprinting technique for the cloud environment to protect numeric attributes in relational databases for digital privacy management. The proposed solution with the novel fingerprinting scheme is robust and efficient. It can address challenges such as embedding secure data over the cloud, essential to secure relational databases. The proposed technique provides a decoding accuracy of 100%, 90%, and 40% for 10% to 30%, 40%, and 50% of deleted records

Citation

Fatima, M., Nisar, M. W., Rashid, J., Kim, J., Kamran, M., & Hussain, A. (2021). A Novel Fingerprinting Technique for Data Storing and Sharing through Clouds. Sensors, 21(22), Article 7647. https://doi.org/10.3390/s21227647

• Journal Article Type: Article
• Acceptance Date: Nov 14, 2021
• Online Publication Date: Nov 17, 2021
• Publication Date: 2021
• Deposit Date: Feb 1, 2022
• Publicly Available Date: Feb 1, 2022
• Journal: Sensors
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 21
• Issue: 22
• Article Number: 7647
• DOI: https://doi.org/10.3390/s21227647
• Keywords: cloud environment; secure signature; data usability; minimum distortion; robust fingerprinting
• Public URL: http://researchrepository.napier.ac.uk/Output/2839558