国产做a爰片久久毛片a片美国|国产免费一区二区三区vr|国产无套白浆一区二区|国产精品成人嫩草影院|九九综合九色综合网站

Security should be an integral part of any IoT ecosystem. Active and passive cyber attacks (including device surveillance, eavesdropping, man-in-the-middle, and jamming) are some common examples of attacks. The need here is to protect IoT assets by using complete IoT device lifecycle management controls and a layered security approach. Layered security should include network security, application security, device security, and physical security. The security policy should ensure secure connectivity to the IoT gateway as well as payload encryption, device identification using certificates, and encryption of data at rest and in transit.

Supports multiple connection protocols.

Should be scalable, hardware-independent, and OS-independent.

Should define data processing rules through a cloud control panel so that computation can be performed at the edge.

Leverage local storage to provide backup in case of network failure.

Integrate edge data with your existing enterprise systems or IoT platforms using an API console.

Manage the entire device infrastructure through a single interface - perform firmware updates, get device operational status and diagnostic information for predictive maintenance.

Protect the entire communication pipeline by managing encryption, certificates, role authorization, and authentication.

The biggest challenge is to achieve interoperability by supporting multiple connected sensor protocols (e.g. Z-Wave, ZigBee, BLE, Wi-Fi, BACnet, etc.). Connected sensors and devices in the IoT ecosystem should be able to seamlessly interoperate with other devices through gateways or send the required data to the cloud.

The IoT gateway bridges the communication gap between devices, sensors, equipment, systems, and the cloud. By systematically connecting to the cloud, IoT gateways provide local processing and storage with the ability to autonomously control field devices based on sensor input data. The IoT Gateway also enables customers to securely aggregate, process, and filter data for analysis. It helps ensure that federated data generated by devices and systems can be safely and securely transmitted from the edge to the cloud.