大数据时代网络安全及预测技术研究

Research on network security and prediction technology in the era of big data

摘要:

大数据时代信息技术的快速发展，依托于各类硬件防护设备的网络体系架构的异构数据量每天以指数级的量级递增，基于传统的网络安全防护技术无法有效的适用于具有海量数据的特征网络安全和分析预测等工作，因此海量数据的保存、使用、以及分析等信息挖掘和数据分析预测逐步成为社会各界重视和当前的研究趋势。本文以海量的异构数据为研究对象，识别网络安全大数据的典型特征，结合情报预测的主要方法，创新性的提出了大数据特征下的网络安全预测分析技术，提高网络安全风险识别和预测、俞静能力，有效的改善网络防护效果。

Abstract:

Big data era of the rapid development of information technology, based on all kinds of protective equipment of network hardware architecture of heterogeneous data volume by exponential magnitude increases every day, based on the traditional network security protection technology cannot effectively apply to has the characteristics of huge amounts of data analysis and prediction of network security and etc, so huge amounts of data storage, use and information mining and data analysis, prediction and analysis has become the social from all walks of life value and the current research trend. This paper takes massive heterogeneous data as the research object, identifies typical characteristics of network security big data, and combined with main methods of intelligence prediction, innovatively puts forward network security prediction and analysis technology under the characteristics of big data, so as to improve network security risk identification, prediction and Static ability, and effectively improve network protection effect.