Cybersecurity innovation needs to keep pace with the integration of IoT into enterprise IT infrastructure. DNS is a great place to start.
IoT trends-The adoption of connected devices has exploded recently. Gartner estimates that 25 billion “things” will be connected to the internet by 2020. Just as hiring troves of new people and scaling to new heights strains corporate infrastructure, so too the influx of IoT devices into a company puts new demands on existing enterprise IT infrastructure, resulting in numerous challenges. However, with every challenge to the integrity of enterprise IT infrastructure comes an opening for innovation through clarified business goals and better IoT systems integration.
The Rise of Edge Computing
IoT devices produce a large volume of data. Most require data to be processed quickly to deliver the low latency services they promise. With millions of connected devices worldwide, the easiest way to facilitate this through a distributed environment, moving the computing capability closer to each end-node: an approach known as edge computing. For example, the connected car driving down the street in New York cannot wait for a server in California to make a computation. Even 200 milliseconds of latency can be lethal. The solution is to have a “micro data center” closer to the actual car in New York so that the computation is made almost immediately.
Let’s Standardize IoT Device Communication
There are many transport layer protocols and standards available to support IoT communications, such as ZigBee, LoRa and Bluetooth. Each is best suited to different IoT applications—close range, long range, indoor, outdoor, etc. This is similar to the various transport layer standards we may be more familiar with in the traditional world of the internet. For example, consider the several flavors of WiFi and Ethernet, which are also used for IoT. There are also numerous IoT SDOs (Secure Device Onboard) and alliances which provide standards for connecting IoT devices to the internet. These alliances are typically industry- and context-specific (e.g. for smart homes, manufacturing, vehicles, and healthcare applications).