根据PCI DSS, HIPAA/HITECH, FEDRAMP标准扩展和增强web应用程序数据的数据保护

Михайло Олексійович Колпаков, Андрій Борисович Петренко
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引用次数: 0

摘要

信息网络资源数量的增加是由于信息交互技术的发展、消费者的可访问性和易用性、业务流程自动化的机会、为企业家提供服务节省的资源和时间。本文根据PCI DSS、HIPAA / HITECH、FEDRAMP等标准的要求,综合考虑解决上述问题的机制实现方法。提出了一种将Amazon S3云存储集成到用Java编程语言编写的web应用程序中的有效方法。web服务实现的分步指南不仅可以有效地扩展和保护产品数据,还可以显著扩展web应用程序的功能,使用内部分析工具监控用户活动,根据汇总的统计数据生成报告。web服务集成的分步指南不仅可以有效地扩展和保护产品数据,还可以显著扩展web应用程序的功能,使用内部分析工具监视用户活动,根据收集的统计数据生成报告。在亚马逊云环境中实现的AES加密算法的数学模型被认为可以解释其使用的可行性和相关性。通过对不同数据量下加密时间的测量研究获得的数据,构建了当前几种加密算法的速度对比图。这种方法将允许软件产品满足欧盟和FISMA数据保护指令的要求,通过可访问区域和区域改善数据扩展,并通过Amazon内部机制(如访问控制、审计、网络防火墙、服务器端加密和加密密钥管理基础设施)增强数据保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scaling and enhancing data protection for web application data in accordance with PCI DSS, HIPAA/HITECH, FEDRAMP standards
The increase in the number of information web resources is due to the development of technologies for interaction with information, accessibility and ease of use for the consumer, opportunities for automating business processes, saving resources and time for providing services for entrepreneurs. In this paper, an integrated approach is considered regarding the implementation of the mechanisms for solving the above problems in accordance with the requirements of the standards of PCI DSS, HIPAA / HITECH, FEDRAMP. An effective approach for integrating the Amazon S3 cloud storage into web applications written in the Java programming language is proposed. The step-by-step guide to web services implementation will not only effectively scale and protect product data, but also significantly extend the functionality of the web application, use internal analytical tools to monitor user activity, generate reports based on aggregated statistics. The step-by-step guide for integration of web services will not only allow effectively to scale and protect product data, but also significantly expand the functionality of the web application, to use internal analytical tools for monitoring user activity, to generate reports based on collected statistics. The mathematical model of the AES encryption algorithm, implemented in the Amazon cloud environment, is considered to explain the feasibility and relevance of its use. A graph of comparing the speed of the most current encryption algorithms based on the data obtained by conducting research on measuring the amount of time spent on encryption at different data volumes was constructed. This approach will allow software products to meet the requirements of the EU and FISMA data protection directives, improve data scaling by accessibility zones and regions, and enhance data protection through internal Amazon mechanisms such as access control, auditing, network firewall, server-side encryption and the encryption key management infrastructure.
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