Edge Security – Ease & Secure Access of Industrial data
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In IIoT ecosystem, IT and OT meet at the edge. The edge is where data is sampled and collected from the environment by instrumented things or devices. Edge-Centric Architectures extend elastic compute, networking and storage across the cloud through to the edge of the network.
The following are few of the trends for maintaining edge security and uptime with edge computing while streaming data securely.
- Cloud offloading to address communication latency: Handling more processing at the network’s edge reduces latency from the device’s actions. Use cases that are highly time-sensitive and require immediate analysis of, or response to, the collected sensor data are, in general, unfeasible under cloud- centric IoT architectures, especially if the data are sent over long distances.
- Encryption on endpoint to safeguard data security: By and large, sensitive and business-critical operational data are safer when encrypted adequately on the endpoint level. Unintelligent devices transmitting frequent and badly secured payloads to the cloud are generally more vulnerable to hacking and interception by unauthorized parties. Additionally, many enterprises may need to secure and control their machine data on the edge level for compliance reasons.
- Sensor fusion: Combining data from different sources can improve accuracy. Data from two sensors is better than data from one. Data from lots of sensors is even better.
- Sensor hubs: Developers increasingly experimenting with sensor hubs for industrial internet devices, which will be used to offload tasks from the application processor, cutting down on power consumption and improving battery life in the devices.
- Analytics on the Edge leading to low cost-of-ownership and secured data: Reduce potentially huge cloud-computing costs (because of the sheer volume of 24/7 sensor data) by allowing “fog computing,” where the processing would be done right at the collection process combining real time analytics, with only the small amount of really relevant data being passed on to a central location.
- Gateway-mediated edge connectivity and management architecture pattern: As the widespread acceptance of modern, open-field protocol standards has reduced the need for traditional gateways in the field, the IIoT has created a need for a new breed of intelligent gateways that unlock the full potential of interoperability among diverse real-world devices and industrial Internet systems
Recommended Reading
IoT and Edge Computing for Architects: Implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security
Industries are embracing IoT technologies to improve operational expenses, product life, and people’s well-being. An architectural guide is needed if you want to traverse the spectrum of technologies needed to build a successful IoT system, whether that’s a single device or millions of IoT devices.
IoT and Edge Computing for Architects, Second Edition encompasses the entire spectrum of IoT solutions, from IoT sensors to the cloud. It examines modern sensor systems, focusing on their power and functionality. It also looks at communication theory, paying close attention to near-range PAN, including the new Bluetooth® 5.0 specification and mesh networks. Then, the book explores IP-based communication in LAN and WAN, including 802.11ah, 5G LTE cellular, Sigfox, and LoRaWAN. It also explains edge computing, routing and gateways, and their role in fog computing, as well as the messaging protocols of MQTT 5.0 and CoAP.
With the data now in internet form, you’ll get an understanding of cloud and fog architectures, including the OpenFog standards. The book wraps up the analytics portion with the application of statistical analysis, complex event processing, and deep learning models. The book then concludes by providing a holistic view of IoT security, cryptography, and shell security in addition to software-defined perimeters and blockchains.
