Dockerized, Cross - Platform, Multi-Purpose Cryptography as a Service Framework的设计与实现,具有可扩展性,可扩展性和易于集成的特点

A. Merdan, H. Aslan, Nashwa Abdelbaki
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引用次数: 0

摘要

如今,遵循网络安全标准正成为数字专家的首要任务之一。由于数字化转型是全球应用的方向,数据安全备受关注。无论是在传输、静态还是在处理数据时,确保数据的机密性、完整性和可用性都变得至关重要。组织面临的困难是应用所需安全措施的挑战。此外,实现和维护确保数据加密的健康的加密算法。拥有一个可以适应多个用例的加密库或服务器,要么实现成本太高,要么购买成本太高(包括许可选项,每用户/服务器/年……等等)。我们工作的目标是通过实现一个解决方案来识别数据保护挑战,该解决方案可以匹配将加密作为服务框架的理论假设。术语“即服务”最近得到了推广,因为它能够提供供应商提供的现成解决方案来满足其客户群。在本文中,我们提出了一个易于跨平台工作的框架。它是一个可扩展的、可扩展的解决方案,具有多种托管选项,从本地托管到云托管。提出的框架被实施和评估。结果表明,该框架能够有效地处理海量数据。此外,它可以通过使用JSON格式的标准HTTPS请求轻松访问。此外,为了证明所使用的部署技术,我们能够使用相同的分配资源在本地和云上对其进行评估,得到匹配的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of a Dockerized, Cross Platform, Multi-Purpose Cryptography as a Service Framework Featuring Scalability, Extendibility and Ease of Integration
Following cybersecurity standards nowadays is becoming one of the highest priorities to the digital specialists. Due to the global direction to apply digital transformation, data security is a concern. It becomes crucial to ensure data confidentiality, integrity, and availability whether while transmitting, at rest or even while processing it. The difficulty being faced by organizations, is the challenge of applying the needed security measures. Also, implementing, and maintaining the cryptographic algorithms that ensure the wellness of the data encryption. Having a crypto library or a server that can fit multiple use-cases is either too costly to implement, or expensive to buy (including licensing options, per user/server/year…etc.). The goal of our work is to identify the data protection challenges, by implementing a solution that could match a theoretical hypothesis of having cryptography as a service framework. The term “as a service” has been promoted lately due to its capabilities to provide a ready-made solution by the vendors to satisfy their customer base. In this paper, we are proposing a framework that works cross-platform with ease. It is a scalable, extendible solution with multiple hosting options, from an on-premises hosting to cloud hosting. The proposed framework is implemented and evaluated. The results show that the proposed framework can efficiently process enormous amounts of data. In addition, it could be easily accessed by standard HTTPS requests using JSON format. Also, proving the used deployment technique, we were able to evaluate it on-premises and on cloud with the same allocated resources, getting matching results.
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