Information encryption based on the customized data container under the framework of computational ghost imaging

Area of Science:

• Information Security
• Optical Imaging
• Cryptography

Background:

• Computational ghost imaging (CGI) offers unique encryption capabilities but suffers from inherent linearity.
• Existing CGI encryption methods face challenges in data recovery and security robustness.

Purpose of the Study:

• To propose a novel information encryption scheme overcoming the limitations of CGI.
• To enhance the security and efficiency of data encryption using customized data containers and CGI.

Main Methods:

• Information transformed into bits to control a customized data container formation.
• Exclusive-OR (XOR) operation with a random container and logistic map-based scrambling to destroy linearity.
• Phase masks derived from Hadamard matrix patterns used for intensity recording, reducing redundancy.

Main Results:

• The proposed scheme successfully recovers primary information from ciphertext.
• Linearity of CGI encryption is effectively destroyed, enhancing security.
• Reduced number of required phase-only masks and improved security through logistic map keys.

Conclusions:

• The novel encryption scheme based on customized data containers and CGI is valid and feasible.
• The method significantly enhances information security by addressing CGI's inherent linearity.
• Numerical simulations confirm the effectiveness and potential of this advanced encryption technique.