Siemens had 14 patents in blockchain during Q2 2024. Siemens AG filed a patent for a monitoring system that involves a requesting device, monitoring apparatus, and signing device. The system receives signature requests, stores data, and compares one-time public keys to detect any discrepancies, issuing warnings if necessary. Another patent describes a graph transformation method for function block chains, involving extracting function block pairs, transforming them into nodes, and building a graph based on directed or undirected acyclic graphs with weights based on counts. GlobalData’s report on Siemens gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Siemens had no grants in blockchain as a theme in Q2 2024.
Recent Patents
Application: Monitoring system for monitoring hash-based digital signatures (Patent ID: US20240179010A1)
The patent filed by Siemens AG describes a monitoring system for hash-based digital signatures that involves a requesting device, a monitoring apparatus, and a signing device. The monitoring apparatus receives a signature request data structure, stores the data, receives a hash-based digital signature, extracts a one-time signature, determines a one-time public key, compares it with previous keys, and stores it if different or sends a warning signal if the key matches previous ones. The system ensures data integrity and provides warnings to prevent unauthorized signatures.
The monitoring system also includes features such as blocking the signature if the key matches previous ones, sending warning signals to the signing device, generating further signatures upon receiving warnings, and storing meta-information. The system operates across different communication networks, ensures the security of the data storage unit, and involves a stateful hash-based cryptographic function in the signing device. The method and computer program product associated with the monitoring system provide a comprehensive approach to monitoring hash-based digital signatures to prevent unauthorized or fraudulent activities.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
