Research on the cultivation strategy of network information security literacy of medical students from the perspective of big data

Corresponding author: GAO Wen-yue, 394484917@qq.com

DOI: 10.12201/bmr.202004.00030

•  

  Abstract: With the continuous development of Internet technology, the society has entered the era of big data. For medical students, the advantages of network provide convenience for study, life and entertainment. However, due to the insecurity of network and the immature awareness of network security of some medical students, medical students sometimes become victims in the process of using the network. Medical students, as future medical personnel, are a special group of network users. They should not only pay attention to the privacy of personal information, but also pay attention to the protection of the information security of patients and scientific research, so the cultivation of network information security literacy of medical students is particularly important. Perspective in this paper, focusing on the big data network information security literacy training strategy among medical students, and elaborates the network information era of big data security value and the network information security literacy status among medical students, and points out the problems that medical students the network information security literacy and lack of reason, medical students network information security literacy training strategy is put forward, so as to provide theoretical reference for the field in future related research.

  Key words: Big data; Network security; Medical students; Network information; Safety culture

  Submit time: 7 December 2020

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• Zhai Xing, Li Guoliang, Guo Fengying. Research on the construction of the course system of big data management and application in traditional Chinese medicine Universities——An exploratory analysis based on the needs of College Students. 2020. doi: 10.12201/bmr.202008.00008

  jinlizhu, gehui, guoqing, lishaoqiong, duxuejie. Early warning of influenza epidemics using meteorological factors and machine learning. 2021. doi: 10.12201/bmr.202012.00008

  liuyuting, Du Jianjie, Wang Ling, Huang Fang. Investigation on Data Literacy of Medical Undergraduates and Research on Educational Strategies. 2020. doi: 10.12201/bmr.202011.00007

  LI Fei, YOU You, WANG Wei-min, WANG Zhi-feng. Impact of Adverse Events During Clinical Clerkship on Medical Students Career Intention. 2021. doi: 10.12201/bmr.202012.00015

  Wang BoYuan, Xiao Gexin. Design of food safety risk monitoring information platform framework. 2020. doi: 10.12201/bmr.202008.00011

  Discussion on the application of 5G network technology in medical field. 2020. doi: 10.12201/bmr.202005.00244

  Ci Yan, Peng Wang, Yue Yang, Jin Ren, Ruihao Wu, Yin Guan, Qian Zhang. Planning and construction of provincial cancer big data center. 2020. doi: 10.12201/bmr.202009.00002

  Zhu Xiaoxiao, Qian Aibing. Analysis of Network Attention Characteristics of Breast Cancer Prevention and Treatment Health Information Based on Baidu Index. 2020. doi: 10.12201/bmr.201906.00001

  gongwei, wentingxiao. Research on the development status and promotion strategy of medical information education in China in 5G era: An investigation based on the visual perspective. 2020. doi: 10.12201/bmr.202007.00014

  XU Hao, LI Chaofan, ZHANG Mengna, REN Peng, ZHANG Ran. Research and Simulation of Hospital Network Architecture Based on EVE-NG / XU Hao, LI Chao-fan, ZHANG Meng-na, et al // Medical Informatics. 2020. doi: 10.12201/bmr.202004.00033

• ID	Submit time	Number	Download
  1	2020-04-30	bmr.202004.00030V1	Download

• Public  Anonymous  To author only Submit Comments