Authentication method based on public key encryption system

Abstract

The invention relates to an authentication method based on a public key encryption system, applied to an environment of instant message communication, network telephone and the like. The authentication method comprises identity authentication and shared session key generation. The authentication method mainly consists of three roles: a sender A, a receiver B, and a key distribution center. In a protocol execution process, the sender A and the receiver B complete the mutual identity authentication with the key distribution center and the mutual authentication between the sender A and the receiver B through the interaction with the secret key distribution center, in the period, the sender A and the receiver B respectively receive a shared session key generated by the secret key distributioncenter, and the authentication party also receives the shared session key so as to use the shared session key to encrypt and decrypt communication contents in the next stage of information interaction. By adoption of the authentication method provided by the invention, the security requirements of the authentication protocol are fully met, the old message playback can be prevented, and the identity impersonation attacks are defended.

Description

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AI Technical Summary

Benefits of technology

This technology helps ensure secure communication between two people by distributing keys over different parts (called messages or tokens). Each part contains unique identifiers for each person who sent it back separately. These codes are used only once during transmission, making sure they cannot be duplicated without being detected at all times. Additionally, this method prevents any attempts made against an authenticated entity's identification code.

Problems solved by technology

This patented technical problem addressed by this patents relates to ensuring that individuals can communicate safely with one another without being threatened or compromised due to any external factors like security threats or malware detection techniques used for identification purposes. Current methodologies involve complex algorithms involving complicated calculations and increased risk from these types of attacks.

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