Image-Decomposition-Based Encryption Using Triple-Gated Feedback Field-Effect Transistors

Image-decomposition-based encryption is an effective approach for enhancing security, as it requires both decryption of the decomposed images and subsequent image processing to reconstruct the original image. In this study, we demonstrate image-decomposition-based encryption using a reconfigurable logic-in-memory (R-LIM) cell and a true random number generator (TRNG), both based on triple-gated feedback field-effect transistors (TG FBFETs). The R-LIM cell, composed of eight TG FBFETs, outputs symmetric voltages of ±0.7 V with clearly distinguishable logic levels and performs reconfigurable logic operations without modifying the circuit configuration or input bias. The TRNG, composed of one TG FBFET and one resistor, generates random bits without requiring initial seeds and enables control of the probability of bit ‘1’ by adjusting the input voltage. For image processing and encryption, virtual R-LIM cell arrays are constructed using Python, and encryption keys are generated by the TRNG. Image encryption is performed using a sum operation within a single R-LIM cell, enabling key splitting through two independent random keys that are both required for decryption. As a result, the TG FBFET-based system enables image-decomposition-based encryption with approximately 71% fewer transistors than a conventional complementary metal–oxide–semiconductor-based implementation.