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The rapid growth of the big data industry has made personal information the basic resource. However, the convenience of obtaining personal information and the commerciality will inevitably lead to the problem of personal information security protection. Based on this background, this paper takes company A as the research case draws out the insufficiency of the protection of customers personal information: system risk, human risk, and process management risk in data storage and transmission, and systemic and human factors in data-supported security, and puts forward the countermeasures for the protection of personal information: 1) Clarification of the main bodys responsibility; 2) Classification and grading control; 3) Avoiding sensitive data out of the network; and 4) Information use requiring authorization. This study provides relevant suggestions on how to improve the security protection of personal information in the field of big data applications; from the technical aspect, it adopts classification control use authorization and other technologies to reduce network risks; on the other hand, from the management aspect, it clarifies the main safety responsibility, strengthens the professional skills training of personnel, and authenticates the use within the scope of authority, which can help enterprises make future strategies.
Jiahao Yang (Wed,) studied this question.