Credit: EDN Network - Handling Privacy and Security Concerns in the IoT: Big Data and Privacy

What is a Data Custodian?

The IoT, while bringing significant service improvements to consumers and manufacturers, also brings concerns regarding the privacy and security of the underlying data. This situation requires that there be definition of those involved in the data life cycle, alongside the context of their identity. The key definitions are the data owner, the data custodian, the data generator, and the data consumer.

The data owner will generally be an entity or individual that has accountability and access-control decision making for the data. The data custodian is where data is residing—in the case of deferred ownership, in the Dataparency Distributed Data Network, the shared repository of entity data. Data generators could well be the low-level digital devices such as cars, refrigerators, home automation systems, locks, smart phones, and so on, not to mention manufacturing controllers and sensors. In the Dataparency model, these generators defer ownership of data to Dataparency for management. This data landscape is made complete by those who will access the data—the data consumers. This group is potentially the largest, with data consumers from various different organizations and view points, all with different claims and levels of data requirements.

Data Custodian for a Person

The Data Custodian, for the benefit of an individual, plays the role of mediator to the individual's data. Privacy rules, dictated by the individual, and expressed in a Relationship Distributed Identifier (RDID), provide the custodian with how and who may access the individual's data. Sources of an individual's data include: devices in the individual's IoT such as fitness, healthcare, residence, and more. Other sources include social media and data generated from apps.

Credit: Intel Corp.

Data Custodian for a Business Entity

Billions of devices are poised to make more than a trillion Internet connections at any given moment and, in the process, those devices are generating enormous volumes of data, spurring the next wave of “Big Data.” Nearly 640K Gb of global IP data, or the equivalent of 61,000 hours of music, is transferred in just one Internet minute. That number is predicted to explode exponentially and huge portion of the growth of this Big Data will likely come from intelligent systems – machines that communicate with each other, both directly and through the cloud, to make up what is frequently referred to as the Internet of Things (IoT).Krystal Temple, Intel

As you can imagine, the unbridled growth of IoT data is likely to present problems with management of the data. The Dataparency Distributed Data Network solves this problem by placing data storage and processing at the edges of IoT, the devices and/or gateways. By determining what data is important, processing in Dataparency can manage just what data is exposed and who can access it, delivering Transparency with Privacy.