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面向物联网的企业隐私资源优化与大数据智能管理策略。

Enterprise Privacy Resource Optimization and Big Data Intelligent Management Strategy Oriented to the Internet of Things.

机构信息

School of Economics and Management, Mianyang Teachers' College, Mianyang, Sichuan 621000, China.

School of Accounting, Chongqing University of Technology, Chongqing 400052, China.

出版信息

Comput Intell Neurosci. 2022 Apr 13;2022:7280695. doi: 10.1155/2022/7280695. eCollection 2022.

DOI:10.1155/2022/7280695
PMID:35463284
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9020893/
Abstract

In the context of the Internet of Things, user privacy leads to the lack of information security and the obscuration of traditional privacy concepts. Therefore, how to ensure information security and protect user privacy is a key issue that enterprises must solve in the process of using the Internet of Things technology. At present, the research on corporate employees' protection of user privacy in the context of the Internet of Things is mostly focused on the technical level, while the legal and management levels are relatively lacking. Based on the definition of the corporate concept in the context of the Internet of Things, this paper uses management and psychology as the research perspective, and based on theory of persuasion, adjustment orientation theory, and reinforcement theory, it discusses the attitudes of corporate employees to protect user privacy in the context of the Internet of Things and behaviour mechanism, constructing a new theoretical model. This experiment uses 0.001 as the step size to change the corresponding threshold size. The interval range is [0.001, 10], and there are a total of 10,000 points in the interval, which is equivalent to 100 million sensor attack tests. According to the above method, 10,000 points of the ROC curve can be obtained by using 10,000 thresholds, and the corresponding ROC curve can be drawn in the coordinate graph, which can intuitively reflect the performance of the VRADS vehicle anomaly real-time detection system. The challenge of data information protection is analyzed, trying to clarify the ideas for the protection of personal data and information in the Internet of Things environment and even lead to employees' rebellious psychology. This article proves that the pertinence and effectiveness of the persuasive content have a positive impact on employees' attitudes towards privacy protection, and it has been further deepened in the context of the Internet of Things. The balance point is to leave enough room for the long-term sustainable development of the Internet of Things industry on the basis of protecting the personal rights and interests of users.

摘要

在物联网的背景下,用户隐私导致信息安全缺乏和传统隐私概念的模糊。因此,如何确保信息安全和保护用户隐私是企业在使用物联网技术过程中必须解决的关键问题。目前,企业员工在物联网背景下保护用户隐私的研究大多集中在技术层面,而法律和管理层面相对欠缺。基于物联网背景下的企业概念定义,本文以管理和心理学为研究视角,基于说服理论、调整定向理论和强化理论,探讨了企业员工在物联网背景下保护用户隐私的态度和行为机制,构建了一个新的理论模型。本实验以 0.001 为步长改变相应的阈值大小,间隔范围为[0.001,10],区间内共有 10000 个点,相当于 1 亿次传感器攻击测试。按照上述方法,通过 10000 个阈值可以得到 10000 个点的 ROC 曲线,在坐标图中可以绘制出相应的 ROC 曲线,直观地反映 VRADS 车辆异常实时检测系统的性能。分析了数据信息保护面临的挑战,试图阐明物联网环境下保护个人数据和信息的思路,甚至导致员工产生逆反心理。本文证明了有针对性和有效性的说服内容对员工保护隐私的态度有积极影响,并在物联网背景下进一步深化。平衡点是在保护用户个人权益的基础上,为物联网产业的长期可持续发展留出足够的空间。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb2/9020893/62a967233ff6/CIN2022-7280695.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb2/9020893/d439a5bab208/CIN2022-7280695.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb2/9020893/50e8ee711318/CIN2022-7280695.003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb2/9020893/ceefca0f36b4/CIN2022-7280695.007.jpg

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