Tech giant IBM was granted a patent for a mobile data sharing mechanism using distributed ledger technology (DLT), as per documents released by the US Patent and Trademark Office (USPTO).
The product explained in the filing is a continuation of the US patent application submitted in November 2017, entitled “Information Sharing Among Mobile Apparatus.” IBM recommends a technique performed by a mobile device to validate the data shared between two systems. The platform can retrieve precise data in detail and send it to adjacent computing nodes, subsequently broadcasting a proven event on a distributed ledger.
The data obtained is used to map notifications of information. Objects linked to the suggested system would share event data with numerous mobile devices with safe trustworthiness and without offering a reliable third party.
The document elaborates as follows:
“Connected objects can be sensed and/or controlled remotely across existing network infrastructure, integrating connected physical objects into computer-based systems. Connected physical objects are uniquely identifiable through their embedded computing system, allowing the connected physical objects to interoperate within the existing Internet infrastructure.”
Briefly, the patent envisages a model to share event details among various devices without a credible third party. Earlier in April, the company also received a patent that can handle information and autonomous vehicle (Self-Driving Vehicle) interactivity to foresee non-SDV actions in the neighboring ecosystem. Also, six major international banks will issue their own stablecoins on IBM’s blockchain platform.
Also, six major global banks will launch their own stablecoins on IBM’s blockchain platform. It’ll be exciting to watch which other blockchain and DLT-based patents the company obtains next. The patent is the latest in IBM’s lengthy list of blockchain-related patents either filed or obtained in past few months.
Back in April, IBM included a new feature to its blockchain patent arsenal to handle self-driving vehicle information and interactions. The products seem to be a system where an SDV communicates and anticipates non-autonomous vehicle drivers ‘ conduct near the area. IBM outlined security techniques for resisting replay attacks while maintaining valid user permissions and privacy. IBM highlighted safety methods for resisting replay assaults while retaining relevant user access rights and privacy.