Lockheed Martin had three patents in cybersecurity during Q1 2024. Lockheed Martin Corp’s patents filed in Q1 2024 focus on digital rights management and encryption techniques. The first patent describes a method for identifying data, determining security levels, selecting encryption schemes, and applying Quantum Resistant Ledger (QRL) for encryption before communication to another network component. The second patent outlines a system for digital rights management involving checking for locally installed digital media, generating attestation data, encrypting communication to a server, sealing binary files, and installing them on local storage. GlobalData’s report on Lockheed Martin gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Lockheed Martin had no grants in cybersecurity as a theme in Q1 2024.

Recent Patents

Application: Quantum resistant ledger for secure communications (Patent ID: US20240048369A1)

Lockheed Martin Corp. has developed a method and system for secure data communication using a Quantum Resistant Ledger (QRL). The method involves identifying data, determining a security level, selecting an encryption scheme, applying the encryption using QRL, and transmitting the encrypted data to another network component. The system utilizes blockchain technology with hash-based signatures to ensure secure transactions and generate public/private key pairs for encryption.

The patent claims outline the specific operations of the first network component, including the generation of a single public key, securing transaction signatures, and role-based validation rules for network components. The encryption schemes can be classical, post-quantum, or distributed ledger technology, with security levels ranging from 80 to 256 bits. The method and system provide a comprehensive approach to data security, leveraging QRL and blockchain technology to protect sensitive information during communication between network components.

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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.