ebytewifi

Ebyte is a national high-tech enterprise specializing in the research and development of wireless modules and industrial IoT terminals. Independently developed and produced products include LoRa/WiFi Wireless Module/Bluetooth/ZigBee wireless modules, 4G networking equipment, Ethernet modules, NB-IoT data transmission terminals, industrial IoT

Since Zigbee networks are widely used in smart homes, industrial automation, and health monitoring, security has become a crucial consideration. To ensure the security of the network, the Zigbee protocol has taken a series of protection measures, covering data encryption, authentication, network access control, and other aspects. The following are the main security measures for Zigbee networks:
1. Data encryption

Symmetric encryption: Zigbee networks use symmetric encryption algorithms, mainly Advanced Encryption Standard (AES)-128-bit encryption. AES is a powerful encryption algorithm that can effectively protect the security of data during network transmission. All transmitted data packets will be encrypted, so that even if the data packets are intercepted, it is difficult to decrypt and tamper with.

Data integrity protection: In order to ensure that data is not tampered with during transmission, the Zigbee network also uses message authentication code (MAC) technology. This technology can verify the integrity and authenticity of the data and ensure that the data has not been illegally modified during transmission.
2. Network Authentication

Device Authentication: Zigbee network uses a device authentication mechanism to ensure that only authenticated devices can join the network. Before a device joins the network, it must pass the authentication process of the network coordinator, which prevents unauthorized devices from accessing the network.

Key Management: Zigbee protocol uses a key management mechanism to ensure the security of the network. Each Zigbee device is configured with a unique key when it is produced, which is used for the authentication and data encryption of the device in the network. The network coordinator is responsible for the distribution and management of keys to ensure the security and validity of the keys.
3. Network Access Control

Network Joining and Exiting Control: In Zigbee network, the joining and exiting processes of devices are strictly controlled. When a device attempts to join the network, it must be authorized and authenticated by the coordinator. The network coordinator is responsible for managing the member list of the network to ensure that only authenticated devices can access the network.

Access Control List (ACL): Zigbee protocol supports access control list function, which can specify devices that are allowed or denied access to the network. By configuring ACL, network administrators can control which devices can access network resources, thereby improving the security of the network.
4. Device Update and Maintenance

Firmware Update: Regularly updating the firmware of the device is an important measure to ensure network security. Zigbee network supports firmware upgrade mechanism, through OTA (Over-The-Air) update, known security vulnerabilities can be patched and security performance can be improved. Keeping the latest version of device firmware helps prevent potential security threats.

Vulnerability Management: Devices and software in Zigbee network need to undergo security audits and vulnerability assessments regularly. Timely discovery and repair of potential security vulnerabilities can effectively improve the overall security of the network.

5. Security Best Practices

Password Strength: In Zigbee network, the use of strong passwords is the key to ensure network security. Network administrators should use complex password policies and change passwords regularly to improve the security of the system.

Network Isolation: In a complex network environment, network isolation strategy can be adopted to separate different networks to reduce potential security risks. Through network isolation, the spread of security incidents can be limited and the network's defense capabilities can be improved.

In short, Zigbee network uses a series of security mechanisms such as data encryption, device authentication, key management, network access control, and firmware updates to ensure network security. Implementing these security measures and best practices can effectively prevent potential security threats and ensure the reliability and stability of the Zigbee network in various application scenarios.  
タグ :Zigbee networks


Industrial computers and industrial computing are two closely related but different concepts, both of which play an important role in industrial automation and intelligent manufacturing.

What is industrial computing?

Industrial Computers

Industrial computers are computer systems designed specifically for industrial environments to control and monitor industrial processes. They are generally highly reliable, durable, and adaptable to harsh environments.
Features

Durability:
Industrial computers are generally designed to withstand high temperatures, humidity, dust, vibration, and electromagnetic interference.

Long life cycle:
Compared with consumer computers, industrial computers have a longer life cycle to support the long-term use of industrial equipment.

Flexibility and scalability:
Provides a variety of I/O interfaces such as serial ports, USB, Ethernet, CAN bus, etc., to facilitate the connection of various sensors and actuators.
Supports modular design, and hardware upgrades and expansions can be performed according to needs.

Real-time:
Supports real-time operating system (RTOS) to ensure that tasks are executed under strict time constraints.

Low power consumption:
Many industrial computers are designed with low power consumption to meet the requirements of long-term operation in harsh environments.

Applications

Manufacturing automation: used for production line control and monitoring. Process control: used to control complex processes in industries such as chemicals, oil and gas.
Transportation and infrastructure: used for traffic signal control, video surveillance systems and intelligent traffic management.
Energy management: used to monitor and optimize power and renewable energy systems.  


Industrial computing refers to the application of computing technology to improve the efficiency, automation and data-driven decision-making capabilities of each link in the industrial field. It covers multiple aspects from manufacturing to resource management, logistics and supply chain, and optimizes and intelligentizes industrial processes through the use of advanced computing technologies and tools.
Core concepts of industrial computing

Automation and control:
Use computer control systems to automate production processes to improve efficiency and consistency.
Including programmable logic controllers (PLCs), distributed control systems (DCSs) and industrial robots.

Data collection and analysis:
Collect production and operation data through sensors and network devices.
Use big data analysis and machine learning technologies to identify trends, predict problems and optimize processes.

Interconnection:
Use Internet of Things (IoT) technology to connect devices and systems to achieve real-time sharing and interaction of information.
Support remote monitoring and management to improve collaboration efficiency.

Intelligent decision-making:
Apply artificial intelligence (AI) technology for predictive maintenance, quality control and supply chain optimization.
Help companies make smarter business decisions through data-driven insights.

Key technologies of industrial computing

Cloud computing: provides scalable computing resources and storage capabilities, supports large-scale data processing and real-time analysis.
Internet of Things (IoT): enables interconnection between devices and systems, and provides support for data collection and monitoring.
Artificial intelligence (AI) and machine learning: used for data analysis, pattern recognition, predictive modeling, etc. to optimize industrial processes.
Edge computing: performs computing close to the data source to reduce latency and improve real-time processing capabilities.
Big data analysis: analyzes large amounts of production and operational data to extract valuable insights.  


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