A Novel Fingerprinting Technique for Data Storing and Sharing through Clouds.

Area of Science:

• Computer Science
• Information Security
• Database Management

Background:

• The proliferation of digital data necessitates robust methods for protecting sensitive information in cloud environments.
• Digital fingerprinting is a key technique for safeguarding digital properties, including copyright and privacy, against illicit distribution and identifying malicious actors.
• Cloud computing enables on-demand data services but introduces challenges in data security, ownership, and privacy.

Purpose of the Study:

• To propose a novel digital fingerprinting technique specifically designed for cloud environments.
• To enhance the protection of numeric attributes within relational databases for improved digital privacy management.
• To develop a robust and efficient solution for securing sensitive data in the cloud.

Main Methods:

• Development of a novel fingerprinting scheme tailored for numeric attributes in relational databases.
• Implementation of the technique within a cloud computing framework.
• Evaluation of the technique's robustness and efficiency in protecting data privacy.

Main Results:

• The proposed fingerprinting technique demonstrates effectiveness in securing relational databases in the cloud.
• Achieved decoding accuracy rates of 100% for 10-30% deleted records, 90% for 40% deleted records, and 40% for 50% deleted records.
• The technique successfully addresses challenges related to embedding secure data in cloud environments.

Conclusions:

• The novel fingerprinting technique offers a robust and efficient solution for digital privacy management in cloud relational databases.
• This method is crucial for addressing security and privacy concerns associated with sensitive numeric data in shared, automated environments.
• The technique provides a reliable means to protect data integrity and trace unauthorized distribution within cloud services.