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Computed Tomography

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Information Security Scheme Based on Computational Temporal Ghost Imaging.

Shan Jiang¹, Yurong Wang², Tao Long¹

¹School of Information Science and Engineering, Shandong University; Shandong Provincial Key Laboratory of Laser Technology and Application, Jinan, 250100, China.

Scientific Reports

|August 11, 2017

Summary

This summary is machine-generated.

This study introduces a novel information security scheme using computational temporal ghost imaging. The method leverages random binary patterns for secure data encryption and decryption, offering robust protection against attacks.

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Area of Science:

Information Security
Computational Imaging
Cryptography

Background:

Traditional information security methods face evolving threats.
Ghost imaging offers unique properties for optical information processing.
Need for robust and secure data encryption techniques.

Purpose of the Study:

To propose a new information security scheme based on computational temporal ghost imaging.
To demonstrate the feasibility and security of the proposed encryption method.
To evaluate the scheme's robustness against adversarial attacks.

Main Methods:

Utilizing a sequence of independent 2D random binary patterns as the encryption key.
Multiplying the 1D data stream with the encryption key.
Obtaining ciphertext through weighted summation of the encryption key.
Decrypting information via correlation measurement between ciphertext and key.

Main Results:

The proposed scheme provides high-level security due to the inherent randomness of the encryption key.
Simulations confirm the feasibility of the computational temporal ghost imaging-based security scheme.
The method demonstrates robustness against occlusion and additional noise attacks.

Conclusions:

Computational temporal ghost imaging provides a secure foundation for information security.
The proposed encryption and decryption process is effective and secure.
The scheme offers a promising solution for secure data transmission and storage.