Light weight encryption technique: a cellular automaton based approach for securing health records

Area of Science:

• Computer Science
• Information Security
• Cryptography

Background:

• Digitization generates vast amounts of data crucial for healthcare operations.
• Large-scale data platforms face significant security challenges, including privacy preservation and unauthorized access.
• Existing encryption methods can be complex, hindering efficient data protection.

Purpose of the Study:

• To develop a lightweight encryption technique for secure and efficient data sharing.
• To address the need for simplified yet robust security in digital data management.
• To enhance key generation processes in encryption algorithms.

Main Methods:

• An ultra lightweight encryption technique was developed.
• The technique is based on the PRESENT algorithm.
• Cellular automaton was integrated for improved key generation.

Main Results:

• The proposed algorithm offers efficient data protection.
• Key generation is enhanced through the use of cellular automaton.
• Efficacy was validated using benchmark tests such as the NIST and Diehard test suites.

Conclusions:

• The developed ultra lightweight encryption technique is effective for secure data sharing.
• The combination of PRESENT algorithm and cellular automaton provides a promising solution for data security.
• This approach facilitates quick and efficient data protection schemes in data-intensive industries like healthcare.