Preventing Intellectual Property Theft in Additive Manufacturing
Abstract
Advanced manufacturing machines, especially for additive manufacturing, are taking advantage of the latest technologies for maximum optimization and precision. Efforts to communicate the complex information, however, can leave systems vulnerable to various attacks both from inside and outside a company’s network. Intellectual property theft attack vectors must be fully understood and accounted for within the information security framework. Software solutions, such as blockchain, will enable full transactional accountability needed to ensure theft cannot occur throughout the manufacturing lifecycle. The resultant research and expert interviews provide a thorough analysis of the elements at risk for which blockchain opportunities will mitigate.
Degree
M.Sc.
Advisors
Dunlap, Purdue University.
Subject Area
Intellectual Property|Computer science|Economics|Industrial engineering
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