Fatima Mehvish, Nisar Muhammad Wasif, Rashid Junaid, Kim Jungeun, Kamran Muhammad, Hussain Amir
Department of Computer Science, COMSATS University Islamabad, Wah Campus, Islamabad 47040, Pakistan.
Department of Computer Science and Engineering, Kongju National University, Cheonan 31080, Korea.
Sensors (Basel). 2021 Nov 17;21(22):7647. doi: 10.3390/s21227647.
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.
随着信息系统中数字数据的不断增长，技术面临着知识保护、所有权保护、安全以及对有价值和敏感数据的隐私度量等挑战。随着云计算的出现，在共享和自动化环境中按需提供各种数据即服务已成为现实。数字指纹技术已被用作一种有效的解决方案，以保护数字资产的版权和隐私，防止其在云端被非法分发以及识别恶意叛徒。此外，它还用于追踪通过云端未经授权分发的多媒体内容及其用户。在本文中，我们提出了一种适用于云环境的新颖指纹技术，用于数字隐私管理中保护关系数据库中的数字属性。所提出的带有新颖指纹方案的解决方案既强大又高效。它可以应对诸如在云端嵌入安全数据等挑战，这对于保护关系数据库至关重要。所提出的技术对于10%至30%、40%和50%的已删除记录分别提供100%、90%和40%的解码准确率。
