大数据时代加强网络环境中的信息安全的对策

发布时间：2018-10-15 10:56

【摘要】：随着信息技术的发展,智能手机的普及,云服务的高效,海量数据的传输已给人们生活提供了便捷。与此同时,在大数据时代也给数据安全带来了严酷的考验,在互联网环境中各种公共数据里隐含着巨大的政治、军事、经济、地理、文化、科研等重要信息,当一些重要信息被不法分子或国外敌对势力利用后,将事关国民经济、社会稳定、国家安全、个人隐私等许多公共安全问题,至此大数据时代信息安全防护尤为重要。大数据信息网络安全的战略目标主要是推进大数据信息技术的研发与应用,促进大数据信息网络领域的繁荣发展,保障大数据信息网络自身安全,谋求大数据信息网络空间主导权。提升大数据信息网络安全战略高度,提高我国大数据信息网络技术自主研发能力,完善数据信息法律规范,建立健全安全保护机制,实现大数据信息网络安全的社会"立体"保护模式是应对大数据环境下信息网络安全的具体措施。
[Abstract]:With the development of information technology, the popularization of smart phone, the high efficiency of cloud service, the mass data transmission has provided people with convenient life. At the same time, the era of big data also brought a severe test to data security. In the Internet environment, there are huge political, military, economic, geographical, cultural, scientific and other important information hidden in various public data. When some important information is used by outlaws or foreign hostile forces, it will have a bearing on the national economy, social stability, national security, personal privacy and many other public security issues. At this point, information security protection is particularly important in big data's time. The strategic goal of big data's information network security is mainly to promote the research and development and application of big data's information technology, to promote the prosperity and development of big data's information network field, and to ensure the information network's own security. Seek big data information cyberspace dominant power. To upgrade big data's information network security strategy, to improve the independent research and development capability of the Chinese big data information network technology, to improve the legal norms of data and information, and to establish and improve the security protection mechanism. To realize the social "three-dimensional" protection mode of big data's information network security is a concrete measure to deal with the information network security under big data environment.
【作者单位】：南华大学;
【基金】：南华大学人文社科项目“网络伪舆情实时识别研究”(项目编号:2015XYB22)
【分类号】：TP309

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