The development of China＇s medical industry is very fast, which has provided a great help for people, but in the process, there are also a lot of problems violating the privacy of the patients. Based on these circums...The development of China＇s medical industry is very fast, which has provided a great help for people, but in the process, there are also a lot of problems violating the privacy of the patients. Based on these circumstances, we must offer the maximum protection of the privacy of the patients. From the point of view of the civil law, the medical institutions or the medical professionals must respect the patients, and protect the patients＇ privacy, so as to build a more harmonious relationship between the doctors and the patients.展开更多
Purpose: This research aims to evaluate the potential threats to patient privacy and confidentiality posed by mHealth applications on mobile devices. Methodology: A comprehensive literature review was conducted, selec...Purpose: This research aims to evaluate the potential threats to patient privacy and confidentiality posed by mHealth applications on mobile devices. Methodology: A comprehensive literature review was conducted, selecting eighty-eight articles published over the past fifteen years. The study assessed data gathering and storage practices, regulatory adherence, legal structures, consent procedures, user education, and strategies to mitigate risks. Results: The findings reveal significant advancements in technologies designed to safeguard privacy and facilitate the widespread use of mHealth apps. However, persistent ethical issues related to privacy remain largely unchanged despite these technological strides.展开更多
The problem of data island hinders the application of big data in artificial intelligence model training,so researchers propose a federated learning framework.It enables model training without having to centralize all...The problem of data island hinders the application of big data in artificial intelligence model training,so researchers propose a federated learning framework.It enables model training without having to centralize all data in a central storage point.In the current horizontal federated learning scheme,each participant gets the final jointly trained model.No solution is proposed for scenarios where participants only provide training data in exchange for benefits,but do not care about the final jointly trained model.Therefore,this paper proposes a newboosted tree algorithm,calledRPBT(the originator Rights Protected federated Boosted Tree algorithm).Compared with the current horizontal federal learning algorithm,each participant will obtain the final jointly trained model.RPBT can guarantee that the local data of the participants will not be leaked,while the final jointly trained model cannot be obtained.It is worth mentioning that,from the perspective of the participants,the scheme uses the batch idea to make the participants participate in the training in random batches.Therefore,this scheme is more suitable for scenarios where a large number of participants are jointly modeling.Furthermore,a small number of participants will not actually participate in the joint training process.Therefore,the proposed scheme is more secure.Theoretical analysis and experimental evaluations show that RPBT is secure,accurate and efficient.展开更多
In the Internet or cloud computing environments, service providers provide more and more content services. Users can use these convenient content services in daily life. The major data of the user are maintained by th...In the Internet or cloud computing environments, service providers provide more and more content services. Users can use these convenient content services in daily life. The major data of the user are maintained by the service providers except that some personal privacy data are stored at the client device. An attacker may try to invade the systems, and it will cause the damage of users and service providers. Also, users may lose their mobile devices and then it may cause the data disclosure problem. As a result, the data and privacy protection of users become an important issue in these environments. Besides, since many mobile devices are used in these environments, secure authentication and data protection methods must be efficient in these low resource environments. In this paper, we propose an efficient and privacy protection digital rights management(DRM)scheme that users can verify the valid service servers and the service servers can ensure the legal users. Since the key delegation center of the third party has the robust security protection, our proposed scheme stores the encrypted secret keys in the key delegation center. This approach not only can reduce the storage space of the user devices, but also can recover the encrypted secret keys in the key delegation center when a user loses her/his devices for solving the device losing problem.展开更多
Advances in technology require upgrades in the law. One such area involves data brokers, which have thus far gone unregulated. Data brokers use artificial intelligence to aggregate information into data profiles about...Advances in technology require upgrades in the law. One such area involves data brokers, which have thus far gone unregulated. Data brokers use artificial intelligence to aggregate information into data profiles about individual Americans derived from consumer use of the internet and connected devices. Data profiles are then sold for profit. Government investigators use a legal loophole to purchase this data instead of obtaining a search warrant, which the Fourth Amendment would otherwise require. Consumers have lacked a reasonable means to fight or correct the information data brokers collect. Americans may not even be aware of the risks of data aggregation, which upends the test of reasonable expectations used in a search warrant analysis. Data aggregation should be controlled and regulated, which is the direction some privacy laws take. Legislatures must step forward to safeguard against shadowy data-profiling practices, whether abroad or at home. In the meantime, courts can modify their search warrant analysis by including data privacy principles.展开更多
Introducing the human rights perspective into the multi-dimensional governance of human genome editing activities would help define boundaries for the behaviors of stakeholders such as the state, researchers, ethics c...Introducing the human rights perspective into the multi-dimensional governance of human genome editing activities would help define boundaries for the behaviors of stakeholders such as the state, researchers, ethics committee members, and the public, and clarify specific practices of these subjects or entities to meet the requirements of human rights obligations. Based on the human dignity principle, humans must never be used as a means to an end in scientific research. The right to physical and mental health requires the implementation of the principles of informed consent, the primacy of life, and risk control in genome editing, as well as the proper treatment of embryos. The right to privacy corresponds to the confidentiality obligations and non-intervention obligations of relevant parties, and the protection of sensitive personal information points to the special compliance requirements regarding information processing. Differential treatment of genome-edited humans requires objective and reasonable justification, and should also meet the requirements of the proportionality principle.展开更多
目的梳理分析健康医疗数据共享背景下中国患者隐私保护相关研究现状,以期为未来相关领域的研究提供参考。方法检索2018—2023年中国知网、万方数据库中有关患者隐私保护的期刊文献,使用Cite Space 6.2.R5软件进行关键词聚类分析和关键...目的梳理分析健康医疗数据共享背景下中国患者隐私保护相关研究现状,以期为未来相关领域的研究提供参考。方法检索2018—2023年中国知网、万方数据库中有关患者隐私保护的期刊文献,使用Cite Space 6.2.R5软件进行关键词聚类分析和关键词突现分析,结合文献具体内容梳理患者隐私保护研究现状。结果共纳入1590篇文献进行分析;发文量最多的核心期刊为《中国医学伦理学》(54篇,3.40%);中国患者隐私保护领域研究现状可概括为医疗护理活动相关隐私问题、医疗服务新技术引发的隐私问题以及特殊情境下的隐私问题;关键词突现分析显示“个人信息”“数据共享”是当前热点研究主题。结论健康医疗数据共享背景下,患者隐私保护仍是研究热点及重点。目前研究对患者隐私保护的定义较为局限,建议未来从多角度出发,深入挖掘多方对于隐私保护的认识,丰富患者隐私保护内涵。此外,还需加强医务人员患者隐私保护意识和行为实践培养,不断实践患者隐私保护技术的安全性及有效性,进一步完善特殊时期及健康数据共享背景下的个人隐私保护相关立法。展开更多
文摘The development of China＇s medical industry is very fast, which has provided a great help for people, but in the process, there are also a lot of problems violating the privacy of the patients. Based on these circumstances, we must offer the maximum protection of the privacy of the patients. From the point of view of the civil law, the medical institutions or the medical professionals must respect the patients, and protect the patients＇ privacy, so as to build a more harmonious relationship between the doctors and the patients.
文摘Purpose: This research aims to evaluate the potential threats to patient privacy and confidentiality posed by mHealth applications on mobile devices. Methodology: A comprehensive literature review was conducted, selecting eighty-eight articles published over the past fifteen years. The study assessed data gathering and storage practices, regulatory adherence, legal structures, consent procedures, user education, and strategies to mitigate risks. Results: The findings reveal significant advancements in technologies designed to safeguard privacy and facilitate the widespread use of mHealth apps. However, persistent ethical issues related to privacy remain largely unchanged despite these technological strides.
基金National Natural Science Foundation of China(Grant No.61976064)the National Natural Science Foundation of China(Grant No.62172123).
文摘The problem of data island hinders the application of big data in artificial intelligence model training,so researchers propose a federated learning framework.It enables model training without having to centralize all data in a central storage point.In the current horizontal federated learning scheme,each participant gets the final jointly trained model.No solution is proposed for scenarios where participants only provide training data in exchange for benefits,but do not care about the final jointly trained model.Therefore,this paper proposes a newboosted tree algorithm,calledRPBT(the originator Rights Protected federated Boosted Tree algorithm).Compared with the current horizontal federal learning algorithm,each participant will obtain the final jointly trained model.RPBT can guarantee that the local data of the participants will not be leaked,while the final jointly trained model cannot be obtained.It is worth mentioning that,from the perspective of the participants,the scheme uses the batch idea to make the participants participate in the training in random batches.Therefore,this scheme is more suitable for scenarios where a large number of participants are jointly modeling.Furthermore,a small number of participants will not actually participate in the joint training process.Therefore,the proposed scheme is more secure.Theoretical analysis and experimental evaluations show that RPBT is secure,accurate and efficient.
基金the National Science Council(No.NSC102-2221-E-327-013-MY3)
文摘In the Internet or cloud computing environments, service providers provide more and more content services. Users can use these convenient content services in daily life. The major data of the user are maintained by the service providers except that some personal privacy data are stored at the client device. An attacker may try to invade the systems, and it will cause the damage of users and service providers. Also, users may lose their mobile devices and then it may cause the data disclosure problem. As a result, the data and privacy protection of users become an important issue in these environments. Besides, since many mobile devices are used in these environments, secure authentication and data protection methods must be efficient in these low resource environments. In this paper, we propose an efficient and privacy protection digital rights management(DRM)scheme that users can verify the valid service servers and the service servers can ensure the legal users. Since the key delegation center of the third party has the robust security protection, our proposed scheme stores the encrypted secret keys in the key delegation center. This approach not only can reduce the storage space of the user devices, but also can recover the encrypted secret keys in the key delegation center when a user loses her/his devices for solving the device losing problem.
文摘Advances in technology require upgrades in the law. One such area involves data brokers, which have thus far gone unregulated. Data brokers use artificial intelligence to aggregate information into data profiles about individual Americans derived from consumer use of the internet and connected devices. Data profiles are then sold for profit. Government investigators use a legal loophole to purchase this data instead of obtaining a search warrant, which the Fourth Amendment would otherwise require. Consumers have lacked a reasonable means to fight or correct the information data brokers collect. Americans may not even be aware of the risks of data aggregation, which upends the test of reasonable expectations used in a search warrant analysis. Data aggregation should be controlled and regulated, which is the direction some privacy laws take. Legislatures must step forward to safeguard against shadowy data-profiling practices, whether abroad or at home. In the meantime, courts can modify their search warrant analysis by including data privacy principles.
基金phased result of the project “study on the legislation of genome editing in human embryos”(Project No. 19SFB2035)National Rule of Law and Legal Theory Research Program by the Ministry of Justice in 2019。
文摘Introducing the human rights perspective into the multi-dimensional governance of human genome editing activities would help define boundaries for the behaviors of stakeholders such as the state, researchers, ethics committee members, and the public, and clarify specific practices of these subjects or entities to meet the requirements of human rights obligations. Based on the human dignity principle, humans must never be used as a means to an end in scientific research. The right to physical and mental health requires the implementation of the principles of informed consent, the primacy of life, and risk control in genome editing, as well as the proper treatment of embryos. The right to privacy corresponds to the confidentiality obligations and non-intervention obligations of relevant parties, and the protection of sensitive personal information points to the special compliance requirements regarding information processing. Differential treatment of genome-edited humans requires objective and reasonable justification, and should also meet the requirements of the proportionality principle.
文摘目的梳理分析健康医疗数据共享背景下中国患者隐私保护相关研究现状,以期为未来相关领域的研究提供参考。方法检索2018—2023年中国知网、万方数据库中有关患者隐私保护的期刊文献,使用Cite Space 6.2.R5软件进行关键词聚类分析和关键词突现分析,结合文献具体内容梳理患者隐私保护研究现状。结果共纳入1590篇文献进行分析;发文量最多的核心期刊为《中国医学伦理学》(54篇,3.40%);中国患者隐私保护领域研究现状可概括为医疗护理活动相关隐私问题、医疗服务新技术引发的隐私问题以及特殊情境下的隐私问题;关键词突现分析显示“个人信息”“数据共享”是当前热点研究主题。结论健康医疗数据共享背景下,患者隐私保护仍是研究热点及重点。目前研究对患者隐私保护的定义较为局限,建议未来从多角度出发,深入挖掘多方对于隐私保护的认识,丰富患者隐私保护内涵。此外,还需加强医务人员患者隐私保护意识和行为实践培养,不断实践患者隐私保护技术的安全性及有效性,进一步完善特殊时期及健康数据共享背景下的个人隐私保护相关立法。
