Intellectual Property Protection of 3D Printing Using Secured Streaming

We are witnessing the advent of personal manufacturing, where home users and small and medium enterprises manufacture products locally, at the point and time of need. The impressively fast adoption of these technologies indicates this approach to manufacturing can become a key enabler of the real-time economy of the future. In this paper, we contribute a secure and dependable infrastructure and architecture for that new paradigm. Our solution leverages physical limitations of the computational process into a defense strategy that makes distributed file storage and transfer highly secure. The main idea is to replace asymmetric or public-key encryption functions with an unkeyed, collision, second preimage, and preimage resistant cryptographic hash function. Such a cryptosystem does not have an inverse function H-1. We challenge each block hash against the full hash table to recreate the original message. To illustrate the approach, we describe secured protocols that provide a number of desirable properties during both data storage and streaming. Similar to proof-of-work blockchain consensus algorithms, we parameterized the solution based on the amount of infrastructure available. Experiments show the proposed method can recalculate hashes for a 3-dimensional live matrix of 256 3 at an average of 14 revisions per second, and one revision every 5 minutes for a bigger matrix of 4096 3. The increase in cloud infrastructure cost is insignificant compared to the level of protection offered. INDEX TERMS Communication system security, computer aided manufacturing, content distribution networks, data security, data storage systems, distributed computing, information security, intelligent manufacturing systems, technology social factors, virtual manufacturing.

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“…In prior research [33], we theoretically described live matrix as a paradigm applied to secured 3D content delivery.…”

Section: F 3d Model Streamingmentioning

confidence: 99%

“…In our previous research [5], [33], [34], we assumed that data-once taken from some kind of secured storage-are decrypted and then encrypted with a different method for delivery to the data consumer. Then, the distribution node can also be a point of attack.…”

Section: Security Evaluationmentioning

confidence: 99%

A Secure Data Infrastructure for Personal Manufacturing Based on a Novel Key-Less, Byte-Less Encryption Method

et al. 2020

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“…A review of the most interesting proposals and experiments is offered in Reference [14]. The authors of Reference [15] deal with the dangerousness of 3D printing technology for intellectual property because the easy access to 3D printing technology makes it convenient to illegally reproduce physical objects regardless of copyright law. 3D printing threatens traditional intellectual property laws, which were created in an era when copyright infringement of physical objects was yet to come.…”

Section: Origins and Perspectives Of Techno-regulationmentioning

confidence: 99%

Platform Economy and Techno-Regulation—Experimenting with Reputation and Nudge

Lettieri¹,

Guarino

Malandrino

et al. 2019

Future Internet

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In the cloud-based society, where the vast majority of social, economic and personal interactions is mediated by information communication technology (ICT), technology is no longer simply a subject of regulation but is becoming an integral part of the regulatory process. Techno-regulation, the “intentional influencing of individuals’ behavior by building norms into technological devices,” is inspiring new ways to support legal safeguards through hardware and software tools, technical solutions allowing the creation of legal relations, hampering breaches of law and even promoting norm compliance. This paper touches on these issues by focusing on Digital Labor Platforms, one of the most relevant phenomena in the gig economy. We present a research project exploring innovative techno-regulatory solutions to protect gig economy workers. The idea is to integrate, in the same strategy, legal principles, regulatory objectives and software solutions. Our attention focuses on two results of our activity—a techno-regulatory model relying on reputational mechanisms to affect the behavior of digital labor market operators and GigAdvisor, a cross-platform experimental application implementing the model.

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