4.4 Article

Information Embedding for Secure Manufacturing: Challenges and Research Opportunities

Publisher

ASME
DOI: 10.1115/1.4062600

Keywords

manufacturing security; information embedding; design for information embedding; counterfeiting; computer aided design; cybermanufacturing; engineering informatics

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The digitization of manufacturing has brought both progress and security concerns. Information embedding techniques have emerged as a promising solution to enhance product security and traceability, but they require addressing challenges related to secure transmission and accessibility to end users.
The digitization of manufacturing has transformed the product realization process across many industries, from aerospace and automotive to medicine and healthcare. While this progress has accelerated product development cycles and enabled designers to create products with previously unachievable complexity and precision, it has also opened the door to a broad array of unique security concerns, from theft of intellectual property to supply chain attacks and counterfeiting. To address these concerns, information embedding (e.g., watermarks and fingerprints) has emerged as a promising solution that enhances product security and traceability. Information embedding techniques involve storing unique and secure information within parts, making these parts easier to track and to verify for authenticity. However, a successful information embedding scheme requires information to be transmitted in physical parts both securely and in a way that is accessible to end sers. Ensuring these qualities introduces unique computational and engineering challenges. For instance, these qualities require the designer of the embedding scheme to have an accurate model of the cyber-physical processes needed to embed information during manufacturing and read it later in the product life cycle, as well as models of the phenomena that may degrade that information through natural wear-and-tear, or through adversarial attacks. This article discusses challenges and research opportunities for the engineering design and manufacturing community in developing methods for efficient information embedding in manufactured products.

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