Instead of 64 gigabytes, he works with 180 kilobytes; Big Data has become Small Data, which is just as challenging in its way.Ubirch is primarily concerned with the security of the data. This should not be confused, Jugel explains, with securing the devices or the infrastructure. \u201cIt\u2019s about whether the data that devices are processing is also accurate and authentic.\u201dFor the Internet of Things, this is extremely important. Different actors and machines are interconnected in a production chain, and much is controlled by data that devices and sensors collect and send. If that data is manipulated \u2014 whether intentionally or through a bug \u2014 enormous damage can be done. \u201cAn example would be a smart grid,\u201d Jugel explains, \u201ca manipulated date can be enough to cut power to a producer or location.\u201dThe Internet of Things makes it extremely important that data be trusted. That trust, Jugel says, can\u2019t be achieved through traditional technologies. This brings us to \u2014 you guessed it \u2014 blockchain.Ubirch started working with blockchain about two years ago. The technology is designed to help validate data \u2014 even large amounts of it \u2014 in a way that is not only secure but also privacy compliant.The actual plan was to form an application for insurance companies: Special sensors, such as those on buildings or vehicles, would report when damage occurs, and because the insurance company trusts the sensors, it could automatically settle the claim. That would save the cost of the appraisal.\u201cInsurance companies are already experimenting massively with such models of an automated claims settlement. Of course, the authenticity of the data is a sensitive issue here,\u201d Jugel explains.Ubirch helps by turning sensors into \u201coracles\u201d \u2014 sources that feed blockchains with data.\u201cThe sensor has a small client that runs autonomously on their microchip. The client generates a key\u2026<\/p>","protected":false},"excerpt":{"rendered":"
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