High-security IP secure communication method

Abstract

The invention discloses a high-security IP (Internet Protocol) secure communication method, which comprises an IP encryption processing device and an IP decryption processing device, and is characterized in that the IP encryption processing device comprises an all-IP message packet encryption module, a true randomization segmentation module, two exclusive-OR operation modules and two packet encryption and tunnel packaging modules; the IP decryption processing device comprises two tunnel unpackging and grouping decryption modules, two exclusive-OR operation modules, a detruding randomization combining module and an all-IP message grouping decryption module. According to the invention, three encryption protection mechanisms of full-IP message packet encryption, true randomization segmentation and IP tunnel packet encryption are adopted, so that an enemy difficultly obtains IP plaintext contents by monitoring communication data contents, analyzing and decoding. According to the method disclosed by the invention, a high-security secret communication IP network can be established on the public Internet at a lower investment cost, attack threats of various existing password analysis decoding means can be resisted, and decoding analysis attacks of the quantum computer can be resisted.

Description

technical field [0001] The invention relates to a high-safety IP secret communication method. Background technique [0002] At present, developed countries are actively developing quantum computers, and the era of quantum computing is no longer far away. Due to the dual characteristics of superposition and entanglement between qubits, the computing power of quantum computers can increase exponentially with the increase in the number of qubits. Quantum computing will pose a huge security threat to secure communications based on cryptographic algorithms. . The rapid development of artificial intelligence based on neural network learning provides a new exponentially accelerated calculation method for cryptanalysis and deciphering technology. The neural network computing model based on quantum chips will pose serious security challenges to existing secure communication systems. [0003] In the existing public Internet, there are always some security loopholes in various netwo...

AI Technical Summary

Problems solved by technology

Since the true randomization segmentation mechanism not only "destroys" the integrity of the ciphertext information, but also completely eliminates any identifiable features in the input data of the block encryption algorithm, all existing cryptanalytic attack methods cannot be effective

Since the output of the de-randomization combination is block-encrypted "random" data without plaintext features, even if the adversary uses a quantum computer to perform exhaustive deciphering operations, it is impossible to determine which pair of block key combinations is correct. Therefore, even if the adversary completes the Exhaustive calculations cannot crack this secure communication system

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