关于构建网络信息安全防护体系的研究——基于数据价值视角的大数据监管系统建设的思考
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摘要
伴随着大数据的广泛应用,各个行业都在利用大数据实现产业的升级换代,为人们带来更为美好的生活。然而在这个过程中,如何解决大数据的副产品如个人隐私泄露等问题正日益成为社会性难题。旨在保护个人隐私、规范大数据应用的大数据治理正在试图从源头寻找答案。但是,出于对商业利益的追逐,企业规避大数据治理的内生动力是无法根除的。这也造就了当前广泛存在的大数据滥用、黑产等问题。大数据监管已经成为监管部门在大数据时代必须肩负的责任与使命。如何开展大数据监管系统建设,以大数据监管系统为核心建立保护个人隐私的网络信息安全防护体系已是当务之急。本文梳理了新时代大数据监管工作的基本内容——数据、协议与节点,构建了基于数据价值的大数据监管模型,从工作内容上为大数据监管系统建设、网络信息安全防护体系建立提出建议。
with the wide application of big data, more and more companies are using big data to upgrade their services,creating better life. However, how to solve the by-products of big data, such as personal privacy leaks, is becoming a socialproblem. Big data governance, which aims to protect personal privacy and guide big data applications, is trying to find answersfrom the source. However, due to the pursuit of commercial interests, enterprises can't eradicate the intrinsic motivation ofavoiding big data governance. This has also resulted in the abuse of big data, black production and other issues. Big data regula-tion has become the responsibility and mission of regulatory authorities in the era of big data. The study identifies the basicelements of big data regulation-data, protocol and node, builds the model of big data regulation in the view of data value, andgives sugg estions on the construction of big data regulation system and the establishment of network information securityprotection system.
with the wide application of big data, more and more companies are using big data to upgrade their services,creating better life. However, how to solve the by-products of big data, such as personal privacy leaks, is becoming a socialproblem. Big data governance, which aims to protect personal privacy and guide big data applications, is trying to find answersfrom the source. However, due to the pursuit of commercial interests, enterprises can't eradicate the intrinsic motivation ofavoiding big data governance. This has also resulted in the abuse of big data, black production and other issues. Big data regula-tion has become the responsibility and mission of regulatory authorities in the era of big data. The study identifies the basicelements of big data regulation-data, protocol and node, builds the model of big data regulation in the view of data value, andgives sugg estions on the construction of big data regulation system and the establishment of network information securityprotection system.
引文
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[3]申孟宜,谷彬.论大数据时代的政府监管[J].中国市场,2014(36):32-40.
[4]宋晓波,宋晓锋,周华英.基于大数据背景下煤矿安全信用监管模式研究[J].中国能源,2018(9).
[5]张铭媛,基于Apache Spark的新三板大数据监管平台构建研究[D].中国财政科学研究院,2017.
[6] LI A, JIN S, ZHANG L, et al. A sequential decision-theoreticmodel for medical diagnostic system[J]. Technology and HealthCare, 2015, 23(s1):S37-S42.
[7]付朋侠,数据生命周期管理理论研究及实施建议[J].科技创业家,2013(17).
[8]徐漪.大数据的资产属性与价值评估[J].产业与科技论坛,2017, 16(2).
[9]宋文凤.科学数据价值鉴定研究[D].吉林大学, 2013.
[10]贾召鹏.面向防御的网络欺骗技术研究[D].北京邮电大学,2018.
[11]王斌.工业物联网信息安全防护技术研究[D].电子科技大学,2018.
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[13]杨月平,王箭,薛明富.面向敏感值的层次化多源数据融合隐私保护[J].计算机科学,2017(9).