[3 Ways] Big Data Encrypted Transmission Methods
1. MQTT data encryption transfer algorithm
An improved MQTT protocol data transfer encryption algorithm MQTT-EA (MQTT Encryption Algorithms) is proposed. In this algorithm, the IoT device side and the server-side randomly generate their private keys, then notify each other of their private keys and combine them into the final session master key through the algorithm, which is encrypted and decrypted by DES to transmit secure data. The attack on the data transfer process by adversaries A and B is simulated, and it is verified that MQTT-EA is safe under the premise that the session key generation algorithm is not leaked.
2. Summary of key protocols and application scenarios of time-sensitive networks
With the development of information technology, there is an increasing demand for scenarios where things and things are the main body of communication, such as factory automation control, automatic driving, etc. The requirements for data transfer delay of this type of communication far exceed the controllable range of traditional Ethernet. , The time-sensitive network came into being. Time-sensitive networks are based on standard Ethernet, providing standardized technologies for deterministic information transfer, minimizing jitter through time-aware scheduling mechanisms, and providing reliable data transfer guarantees for time-sensitive applications. Through the description of relevant international standards for time-sensitive networks, the core features and mechanisms are introduced, and application scenarios such as in-vehicle networks, industrial Internet, avionics networks, and mobile fronthaul networks are analyzed and researched.
3. Design of LoRa's Remote Distributed Agricultural Environment Monitoring System
To solve the problems of complex networking of traditional Internet of Things, short transfer distance, and high power consumption, and agricultural environment monitoring system based on LoRa technology is proposed. The system uses the peripheral functions of the STM32 microcontroller to drive the sensors to monitor a variety of environmental data and uses the LoRa wireless communication module to build a data transfer network. The summary node in the data transfer network receives all the data transmitted from the monitoring node, then packs the data and uploads it to the server through the General Packet Radio Service (GPRS) communication network. The upper computer developed by the C# language can realize the monitoring data Real-time display and save. After testing, the system can accurately monitor agricultural environmental data in real-time, is stable and reliable, and can meet the needs of agricultural environmental monitoring.