WiMi Announced the Internet of Things (IoT) Data Perception Based on Blockchain Technology
The IoT data perception based on blockchain technology can enhance data security and privacy protection. Its use of blockchain's encryption technology and decentralized characteristics ensures the integrity and non-tampering of IoT data during transmission and storage, improves the efficiency and transparency of data transactions, and effectively defends against external attacks and internal fraud. All transaction records are open, transparent and traceable, which improves the trust of the IoT ecosystem and facilitates multi-party collaboration. The automatic execution of data-sharing agreements through smart contracts guarantees the security and compliance of data circulation, promotes cross-subject data sharing and collaboration, and solves the problem of data silos. The IoT data perception system based on blockchain technology contains multiple core technology modules, which work in concert to build a highly secure, transparent, and efficient IoT data perception and management system that supports cross-industry and cross-device data sharing and collaboration.
Data perception collection: Responsible for collecting various types of data from IoT devices, such as environmental parameters, device status, location information, etc. This may involve a variety of data collection devices such as sensor networks, RFID tags, cameras, etc.
Blockchain node: As the core component of the system, the blockchain is used to store and validate the data collected from the sensing units. Each block of data is encrypted and linked to the previous block to form a tamper-proof chain that ensures the integrity and authenticity of the data.
Smart contracts: Automatically executable code deployed on the blockchain to define rules for data transactions, permission controls, and automatic responses when specific events are triggered, such as data-sharing agreements, payments, etc.
Identity and access management: Managing the authentication of IoT devices and users to ensure that only authorized entities can access the system and interact with data, enhancing system security.
Locating and GPS positioning: For applications that require geographic location information, such as smart city and logistics tracking, this module is responsible for accurately locating IoT devices and can assist in location-related data analysis and decision-making.
Data analysis and prediction: Using big data analysis, and machine learning algorithms to process the collected data, such as predicting traffic congestion, equipment failure, etc., to provide a basis for decision support.
Privacy protection and encryption: Advanced encryption technology is used to protect privacy during data transmission and storage, ensuring that the security of personal or corporate data is maintained even when data is shared.
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