Secure message transmission system implemented in blockchain

Secure message transmission system implemented in blockchain network

Blockchain secure message transmission:

System overview: describes a system that uses blockchain technology to implement secure message transmission. The system can collect and request information in the blockchain network through multiple communication modes across authenticated non-credentialed devices and trusted blockchain applications.

Interaction process: The system includes steps such as storing mobile applications to trusted sources, sending invitations to devices, downloading and installing applications on devices, opening request links through applications, and performing two-way authentication.

Two-way authentication mechanism:

Two-way authentication process: The system implements two-way authentication between devices and application servers by generating and exchanging public and private key pairs and using one-time codes (such as SMS verification codes) for second-factor authentication.

Security token: A one-time authentication token (auth-token) is embedded in the request link to ensure the uniqueness and security of each authentication request.

Blockchain event detection and management:

Event detection and response: The system implements event detection, tracking and management through the blockchain network, and can trigger corresponding remedial actions for detected abnormal events.

Smart contract application: Use smart contracts to implement rule compliance monitoring and trigger corresponding application logic based on the event status in the blockchain.

Data interaction across devices and applications:

Data collection and verification: The system can collect data from non-credentialed devices and verify the validity of this data through the blockchain network to ensure the security and integrity of the data.

Report generation and submission: Users can submit exception reports through mobile device applications, which are stored in the blockchain network for subsequent verification and analysis.

Application of machine learning in anomaly detection:

Anomaly detection model: The system uses machine learning models to detect anomalies in event data in the blockchain network and identify potential abnormal patterns through unsupervised or semi-supervised learning.

Model training and deployment: Describes the process of training anomaly detection models using training data sets and deploying trained models to production environments.

Specific application scenarios:

Pharmaceutical supply chain management: Special mention is made of the application of the system in pharmaceutical supply chain management to ensure the safety and compliance of drugs through cross-certification and blockchain technology.

Clinical trial data protection: The system can also be used to protect the security and integrity of clinical trial data to ensure that only authorized users can access sensitive information.

System architecture and components:

System architecture diagram: The document provides a system architecture diagram that shows the interaction between major components including interface servers, private storage servers, blockchain networks, and client devices.

Component functions: Describe in detail the functions of each component and their role in achieving secure message transmission.

Answers to short-answer questions:

What is the main technical purpose?

The main technical purpose is to implement a secure message transmission system and method in a blockchain network, especially for cross-authentication between non-credentialed devices and trusted blockchain applications.

How does the system achieve two-way authentication?

The system achieves two-way authentication between the device and the application server by generating and exchanging public and private key pairs and using a one-time code (such as an SMS verification code) for second-factor authentication. At the same time, a one-time authentication token (auth-token) is embedded in the request link to ensure the uniqueness and security of each authentication request.

What role does blockchain play in the system?

Blockchain plays a core role in the system, used to store and manage all data related to message transmission, including device authentication information, event records, smart contracts, etc. The immutability and transparency of blockchain ensure the security and integrity of data.

How is machine learning applied in the system?

The system uses machine learning models to detect anomalies in event data in the blockchain network and identify potential abnormal patterns through unsupervised or semi-supervised learning. After training, these models can automatically identify and mark possible abnormal events, thereby triggering corresponding remedial actions.

How does the system ensure the security and integrity of data?

The system ensures the security and integrity of data through a variety of mechanisms, including using blockchain to store data to provide immutability, implementing a two-way authentication mechanism to prevent unauthorized access, and using machine learning models for anomaly detection to quickly identify potential threats.

What are the specific application scenarios mentioned?

The application of the system in drug supply chain management and clinical trial data protection is particularly mentioned. Through cross-certification and blockchain technology, the safety and compliance of drugs, as well as the security and integrity of clinical trial data, can be ensured.

What are the core components of the system?

The core components of the system include interface servers, private storage servers, blockchain networks, client devices, etc. These components work together to realize functions such as message transmission, authentication, storage, and management.