Homomorphic Encryption in Manufacturing Compliance Checks
Homomorphic Encryption in Manufacturing Compliance Checks
复制标题
制造合规性检查中的同态加密
DOI：
10.1007/978-3-031-17926-6_6
复制
发表时间：
2022
期刊：
影响因子：
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通讯作者：
F. Federici
中科院分区：
文献类型：
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作者：
Aikaterini Triakosia;P. Rizomiliotis;K. Tserpes;C. Tonelli;V. Senni;F. Federici
合规数据包括在生产过程中收集的制造质量措施。大多数情况下，由于收集的数据量很大，质量检查的计算成本很高。拥有可信赖的云外包分析解决方案是降低运营成本的机会。然而，云计算范式的采用由于与其相关的许多安全风险而被推迟。在本文考虑的用例中，合规性数据非常敏感，因为它可能包含 IP 关键信息，或者可能与安全关键操作或产品相关。虽然保护传输中或静态数据的技术解决方案已达到令人满意的成熟水平，但对保护使用中数据的需求仍然巨大。同态加密 (HE) 是安全计算外包的主要技术推动者之一。在过去的十年里，高等教育以惊人的速度走向成熟。然而，使用 HE 还远未成为一个自动化过程，每个用例都会带来不同的挑战。在本文中，我们研究了 HE 在所描述的场景中的应用，特别是比较算法的主要操作，我们确定了 HE 技术引入的挑战，并针对每个挑战提出了解决方案。最后，我们使用开源 HE 库之一 SEAL 来评估我们的建议，以供我们实施。
Compliance data consists of manufacturing quality measures collected in the production process. Quality checks are most of the times computationally expensive to perform mainly due to the amount of collected data. Having trusted solutions for outsourcing analyses to the Cloud is an opportunity for reducing costs of operation. However, the adoption of the Cloud computation paradigm is delayed for the many security risks associated with it. In the use case we consider in this paper, compliance data is very sensitive, because it may contain IP-critical information, or it may be related to safety-critical operations or products. While the technological solutions that protect data in-transit or at rest has reached a satisfying level of maturity, there is a huge demand for securing data in-use. Homomorphic Encryption (HE) is one of the main technological enablers for secure computation outsourcing. In the last decade, HE has reached maturity with remarkable pace. However, using HE is still far from being an automated process and each use case introduces different challenges.In this paper, we investigate application of HE to the described scenario highlighting, in particular, the main operations of the comparison algorithm, we identify the challenges that HE technology introduces and we propose a solution per challenge. Finally, we evaluate our proposals using one of the open source HE libraries, SEAL, for our implementations.