Research on Data Processing Security System Based on Bio commercial technology and Artificial Intelligence

Tang Li, Zhao Zhiyu, Li Biaoqi, Xu Min
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Abstract

Data security has become an increasingly important concern for organizations and individuals in the digital age. To address this issue, there has been growing interest in using bio-commercial technology and artificial intelligence (AI) to develop innovative security solutions. This paper presents a research study on the development of a data processing secure new entrants in the market for medical devices in Germany can use the use of biometric data, such as fingerprints, iris scans, and voice recognition, in combination with AI algorithms to enhance the security of data processing. The paper provides an overview of the technical framework and architecture of the proposed system, and evaluates its effectiveness in comparison to traditional security measures. The study uses a combination of quantitative and qualitative research methods, including surveys, interviews, and simulations, to collect and analyze data on the performance, accuracy, and usability of the proposed system. The results suggest that the data processing security system based on bio-commercial technology and AI is highly effective in preventing unauthorized access and enhancing data protection. The system provides a high level of accuracy, speed, and user-friendliness, making it a viable alternative to traditional security measures. The paper concludes with a discussion of the implications of the study for the field of data security and future research directions.
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基于生物商业技术和人工智能的数据处理安全系统研究
在数字时代,数据安全已成为组织和个人日益关注的问题。为了解决这个问题,人们对使用生物商业技术和人工智能来开发创新的安全解决方案越来越感兴趣。本文介绍了一项关于开发数据处理安全性的研究。德国医疗设备市场的新进入者可以使用生物特征数据,如指纹、虹膜扫描和语音识别,并结合人工智能算法来增强数据处理的安全性。本文概述了所提出的系统的技术框架和架构,并与传统的安全措施进行了比较,评估了其有效性。该研究结合了定量和定性研究方法,包括调查、访谈和模拟,以收集和分析有关拟议系统性能、准确性和可用性的数据。结果表明,基于生物商业技术和人工智能的数据处理安全系统在防止未经授权的访问和加强数据保护方面非常有效。该系统提供了高水平的准确性、速度和用户友好性,使其成为传统安全措施的可行替代方案。论文最后讨论了该研究对数据安全领域的影响和未来的研究方向。
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