| Title | Research on Big Data Security and Privacy Risk Governance |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Wang, XinRui, Luo, Wei, Bai, XiaoLi, Wang, Yi |
| Conference Name | 2021 International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR) |
| Keywords | Big Data, Big Data Security and Privacy, Current measurement, data privacy, Human Behavior, human factors, international standards, legislation, Market research, Metrics, pubcrawl, Regulation, resilience, Resiliency, Risk Governance Points, Scalability, security management, security risk management |
| Abstract | In the era of Big Data, opportunities and challenges are mixed. The data transfer is increasingly frequent and speedy, and the data lifecycle is also extended, bringing more challenges to security and privacy risk governance. Currently, the common measures of risk governance covering the entire data life cycle are the data-related staff management, equipment security management, data encryption codes, data content identification and de-identification processing, etc. With the trend of data globalization, regulations fragmentation and governance technologization, "International standards", a measure of governance combining technology and regulation, has the potential to become the best practice. However, "voluntary compliance" of international standards derogates the effectiveness of risk governance through this measure. In order to strengthen the enforcement of the international standards, the paper proposes a governance approach which is "the framework regulated by international standards, and regulations and technologies specifically implemented by national legislation." It aims to implement the security and privacy risk governance of Big Data effectively. |
| DOI | 10.1109/ICBAR55169.2021.00011 |
| Citation Key | wang_research_2021 |
Research on Big Data Security and Privacy Risk Governance