IoT-Cloud Convergence or the Internet of Things can be benefited from the cloud’s noted features like scalability, performance, and pay-as-you-go. It is true that IoT applications create a huge volume of data and consist of numerous computational components like data processing & analytical algorithms, their integration to cloud computing architectures, and also the opportunities for affordable on-demand scaling. Let’s find out the best cyber security courses at the cyber degree hub.
Look at the various Examples
1. If Small Medium Enterprises is in the process of developing energy management IT products looking at smart homes and smart buildings. With the streaming data of products like Sensors and WSN in the cloud, it can fulfill its growth needs in scalable and affordable ways. As SMEs acquire a huge amount of data from the customers and make more deployments of the product, it can manage and collect growing volumes of data scalable. It is the advantage of the “pay-as-you-grow” approach. Cloud integration helps SMEs in storing and processing massive data collected from various sources.
2. The smart city can benefit from the cloud-oriented deployment of IoT systems and applications. The city will deploy many IoT applications like smart energy, smart water, smart transport management along with urban mobility and other things. These applications will include many sensors and devices in addition to computational components. Then, they will produce a massive amount of data. Next, the elasticity of the cloud can support the expansions of these applications.
3. The IoT-Cloud Convergence service provider offering public cloud services can be extended to IoT space via enabling 3rd parties for accessing the infrastructure to integrate the IoT data and computational components spread across IoT devices. The IoT data service provider can offer services in pay-as-you-fashion.
Securing IoT-cloud Convergence
1. Monitoring and securing the flow of data from IoT endpoints to the cloud needs to be protected at the outset. For that, they have to implement monitoring and filtering tools.
2. The organizations need to protect their edge devices using cloud-basing solutions against potential physical and cyber threats. Using cloud-based solutions will add extra security and process capabilities.
3. Regular vulnerable checks will help in identifying potential security holes in the IT infrastructure. Conducting vulnerability testing should be done on a regular basis.
4. Make sure there should be continuous updates and patching. The updates and patching are important for preventing IoT vulnerabilities.
5. There should be the use of secure passwords for IoT devices and cloud services. Whenever choosing passwords, you need to choose difficult and strong passwords that would be hard to remember by a 3rd party.
6. You need to define a clear, efficient, and comprehensive access control strategy. It should include the entire environment, starting from the cloud to the edge devices. All the users, groups and their respective roles should be identified for complete validation and authorization policies to be applied to the entire IoT-cloud network.
7. Code or application can play a vital role in IoT-cloud networks that ensure simplified control & remote usability.
8. The organizations shouldn’t feel that storing data in the cloud doesn’t mean that it is protected from security risks. They need to be cautious of the shared approach used by their service provider.
The enterprises can follow the V-model and it’s a popular guide for software development in terms of the last two pointers. Cyber degree hub brings courses that impart extensive training on IoT and cloud security. Cyber degree hub provides course fees, duration, and job opportunities details in knowing cyber security.
