Neural network weight synchronization based lightweight key negotiation method

Abstract

A neural network weight value synchronization-based lightweight key consultation method of which two neural networks with the same input perceptions are interacted, namely, the continuous renew of the weight value vector output, so as to realize the weight value of two neural networks. Based on the traditional random number generator LFSR and Hash algorithm SHA 1, the perception neural network is discretized and extended to the multilayered model, while the synchronic property of weight value is unchanged. Thus, the synchronic weight value can be mapped to the conversation key, which means the key coordination and renew can be applied. The utility model provides a synchronic lightweight key coordination method which is based on the neural network weight value and suitable to flush-type environment. Such method is provided with low operand and low computing resource requirement.

Description

technical field [0001] The invention belongs to a key agreement method, in particular to a lightweight key agreement method. Background technique [0002] Communication encryption is the core technology to ensure network security, and the session key negotiation between the communication parties is the key technology to realize communication encryption. At present, the methods of key negotiation between two parties in communication can be mainly divided into two categories: one is that a communication party unilaterally generates a session key and securely distributes it to the other party to complete the key agreement between the two parties; Both communication parties participate in the calculation, and finally both parties calculate the same information as the negotiated key, and no third party can calculate the final key. [0003] Currently, the industry generally adopts the second type of method, which is implemented using traditional cryptography technology, that is, ...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the disadvantages of the existing key agreement method, such as large calculation consumption, high requirements on computing resources, and unsuitability for embedded environments, the present invention provides a method with low computational complexity, low requirements for computing resources, and suitable for embedded environments A Lightweight Key Agreement Method Based on Neural Network Weight Synchronization

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