In the development of digital security landscapes, researchers successfully used artificial intelligence to decoding information about the fried mode that seemed impossible. The breakthrough was released on Optica on January 30, showing a new type of optical encryption method that combines non -linear physics chaos with neural network recognition capabilities.
“Our new system uses a neural network to generate decryption keys, so as to achieve special encryption, which can only be created by the owner of the encryption system.” Base.
The strength of the system is that it uses a seemingly simple component-a small container ethanol. When researchers are glowing laser through this liquid, it will produce a completely chaotic and random mode, thereby completely disrupting any information encoded in the beam. What is different from this encryption is that the use of any known physical or mathematical methods cannot be reversed.
This irreversible competition seems to create a perfect encryption system, but it also brings an obvious challenge: how to decoding information on the receiving end. The team’s innovative solution is to train neural networks (complex AI systems) to identify and decode desperate models.
Tzortzakis said: “Our research provides a solid foundation for many applications, especially the wireless optical communications of cryptography and secure, which has paved the way for the next generation of telecommunications technology.” “Even under the conditions of bad and unpredictable conditions, we The development method is also very reliable. “
Researchers prove their system by coding and decoding thousands of images, including handwritten numbers and various shapes (such as animals and daily objects). Their neural network reaches 90-95 % accuracy when the original image is desperate.
What is particularly safe to make the system is that each physical setting will create its own unique chaotic model. Even if someone wants to copy exactly the same equipment, the accurate mode of light cannot be copied. This means that the neural network trained on one system cannot decoding another system encrypted information, thereby creating the “physics without control function” of scientists.
The meaning far exceeds safe communication. Tzortzakis pointed out: “From rapid development of digital currency to governance, medical care, communication and social networks, the demand for steady protection systems has continued to increase.”
The team is now trying to add other security layers, such as two factors authentication and explore methods that make the system more compact and cost -effective. Their current challenge is to reduce the size and cost of the laser system required for the encryption process.
The study represents the fusion of several cutting -edge fields: nonlinear optics, chaos theory and artificial intelligence. By combining these elements, the team creates a encryption system that can help protect sensitive information when facing more and more challenges of digital security.
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