AWS has products that work with IoT applications, so what is the security meaning of PaaS database applications? In the end, what is the security of IoT data security? Is it an IaaS or a PaaS database?
The core security implications of using a cloud-based database are common across infrastructure as a service and platform as a service; two important differences are the security sharing responsibilities in the PaaS model and the co-tenancy issues in the PaaS database.
Any time you transfer an app to the cloud, you need to share security responsibilities with the same cloud provider. For example, if you manage your own database on an AWS EC2 instance, you need to rely on AWS to provide physical security and enforce access control. As a customer of IaaS, you need to be responsible for ensuring the security of the operating system and the specific user authorization. When working with PaaS, more responsibility was transferred to the PaaS provider.
PaaS providers can assume management database security controls. Specifically, vendors need to secure servers, database applications, files, and other storage mechanisms. This is to focus more on application performance and analyze the benefits that physical network application developers can take advantage of, rather than focusing on database management.
When using a PaaS database, you may want to consider how your data is stored relative to other PaaS user data. For example, if you use a key-value database, the data may be stored in a single logical database. In this scenario, the PaaS application must include a specific client identifier with a key-value determination to avoid conflicts with other users' data. If a relational database is used to store application-specific data, such as sensor reads from a car, then the PaaS provider may use a single database and partition based on the customer ID. The key question for PaaS customers is "relative to other customers' data, how their data is stored, and other people's access to customer data. What are the potential vulnerabilities that this mechanism may cause?"
Multi-tenancy is also a problem with applications running on virtual servers. Can a single instance of an application accept data from multiple customers? For example, a message queue, like Kafka or Kenessis, can be used to accept data from IoT devices; is it acceptable for you to share messaging services? Or do you want to have your own message queue, a separate input stream?
PaaS providers may provide specific database services that are accurate for IoT workloads. It's important to understand multi-tenancy, especially how data is loaded, how applications are handled, and how data storage is implemented.
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