دانلود رایگان مقاله انگلیسی اطلاعات ارزشمند مراقبت های بهداشتی: حفظ امنیت و حریم خصوصی - اشپرینگر 2018

Abstract

Big data has fundamentally changed the way organizations manage, analyze and leverage data in any industry. One of the most promising felds where big data can be applied to make a change is healthcare. Big healthcare data has considerable potential to improve patient outcomes, predict outbreaks of epidemics, gain valuable insights, avoid preventable diseases, reduce the cost of healthcare delivery and improve the quality of life in general. However, deciding on the allowable uses of data while pre‑ serving security and patient’s right to privacy is a difcult task. Big data, no matter how useful for the advancement of medical science and vital to the success of all healthcare organizations, can only be used if security and privacy issues are addressed. To ensure a secure and trustworthy big data environment, it is essential to identify the limita‑ tions of existing solutions and envision directions for future research. In this paper, we have surveyed the state-of-the-art security and privacy challenges in big data as applied to healthcare industry, assessed how security and privacy issues occur in case of big healthcare data and discussed ways in which they may be addressed. We mainly focused on the recently proposed methods based on anonymization and encryption, compared their strengths and limitations, and envisioned future research directions.

Conclusion

Whereas the potential opportunities ofered for big data in the healthcare arena are unlimited (e.g. drive health research, knowledge discovery, clinical care, and personal health management), there are several obstacles that impede its true potential, including technical challenges, privacy and security issues and skilled talent. Big data security and privacy are considered huge obstacles for researchers in this feld. In this paper, we have briefy discussed some successful related work across the world. We have also presented privacy and security issues in each phase of big data lifecycle along with the advantages and faws of existing technologies in the context of big healthcare data privacy and security. We mainly reviewed the privacy preservation methods that have been used recently in healthcare and discussed how encryption and anonymization methods have been used for health care data protection as well as presented their limitations. Additionally, there are more various techniques include hiding a needle in a haystack [61], Attribute based encryption Access control, Homomorphic encryption, Storage path encryption and so on. However, the problem is always imposed. In this context, as our future direction, perspectives consist in achieving efective solutions in privacy and security in the era of big healthcare data. As well, privacy methods need to be enhanced. Also with the rapid development of IoT, the greater the quantity, the lower the quality. Consequently, quality of data should not be afected more by privacy preserving algorithms to get the appropriate result by researchers. And to go further, we will try.