Fujian Xingyun Big Data Applies for Patent on "Security Authentication Management Method and System Based on Blockchain Big Data"

Fujian Xingyun Big Data Applies for Patent on "Security Authentication Management Method and System Based on Blockchain Big Data"Fujian Xingyun Big Data Application Service Co., Ltd

Fujian Xingyun Big Data Applies for Patent on "Security Authentication Management Method and System Based on Blockchain Big Data"

Fujian Xingyun Big Data Application Service Co., Ltd. recently filed a patent application for a "Security Authentication Management Method and System Based on Blockchain Big Data", with a publication number of CN202411149367.X. The patent was filed in August 2024, aiming to provide a more reliable and timely solution for the field of security authentication technology.

The patent abstract shows that the method primarily comprises the following steps:

Step S1: Firstly, user behavior characteristics are mined from the dataset using big data techniques and labeled. This step aims to provide basic data for subsequent authentication behavior monitoring model training.

Step S2: Next, the labeled dataset is used to train the authentication behavior monitoring model created based on a neural network. The trained model can identify potential security risks and monitor user authentication behavior in real time.

Step S3: To ensure the security of password information, the patent method encrypts the password table into a ciphertext table and distributes it to the blockchain network. The decentralized and tamper-proof characteristics of blockchain technology effectively prevent password information from being leaked or tampered with.

Step S4: To establish a secure communication channel, the patent method uses root certificates, authentication working certificates, first authentication private keys, user working certificates, and first user private keys for identity verification, ensuring the security and reliability of information transmission.

Step S5: The user side generates an authentication request based on the account and password and sends it to the authentication side through the secure communication channel.

Step S6: After receiving the authentication request, the authentication side extracts the account and password information and downloads the ciphertext table from the nearest node in the blockchain to verify the account and password.

Step S7: Finally, the authentication side uses the trained authentication behavior monitoring model to monitor the user's authentication behavior in real time, ensuring the security and reliability of the authentication process.

The advantages of this patent are:

• Enhanced Reliability: Using blockchain technology to store encrypted password information effectively prevents information leakage, improving the reliability and security of authentication.

• Increased Timeliness: The neural network-based authentication behavior monitoring model can monitor user authentication behavior in real time, timely detecting and preventing security risks, improving the timeliness of authentication.

The emergence of this patent technology provides new ideas and solutions for the field of security authentication, which is expected to drive the development of security authentication technology in the future and provide more secure and reliable authentication services for users.