首页> 外文会议>International Conference on Robots Intelligent System >Research on Information Security Situation Awareness System Based on Big Data and Artificial Intelligence Technology
【24h】

Research on Information Security Situation Awareness System Based on Big Data and Artificial Intelligence Technology

机译:基于大数据和人工智能技术的信息安全态势感知系统研究

获取原文

摘要

In order to solve the problem that it is difficult for current information security awareness system to accurately detect massive data security in time, the information security situation awareness system is optimized based on the background of big data network environment and artificial intelligence technology. According to the operation process and framework of the information security situation awareness system, the hardware configuration of the system is optimized and the synchronous operation mechanism of artificial intelligence multi-data security awareness is standardized. At the same time, the information security situation inference algorithm is improved based on the data support vector algorithm. By extracting the universal security features of the data source and setting the information security situation awareness standard parameters according to the extracted results, the system software structure is designed in combination with the information security situation awareness standard parameters, and the steps of comparison and repair based on the security feature parameters are added to the information security situation awareness process. Finally, the optimal design of the information security situation awareness system was completed. Experiments show that the information security situation awareness system based on big data and artificial intelligence technology has significantly improved the operation efficiency and accuracy compared with the traditional system, and can effectively fulfill the security detection requirements for massive data.
机译:为了解决现有信息安全意识系统难以及时准确检测海量数据安全的问题,在大数据网络环境和人工智能技术的背景下,对信息安全态势感知系统进行了优化。根据信息安全态势感知系统的运行过程和框架,优化了系统的硬件配置,规范了人工智能多数据安全感知的同步运行机制。同时,基于数据支持向量算法对信息安全态势推断算法进行了改进。通过提取数据源的通用安全特征,并根据提取的结果设置信息安全态势感知标准参数,结合信息安全态势感知标准参数,设计了基于比较和修复的步骤,设计了系统软件结构。安全特征上的参数被添加到信息安全状况感知过程中。最后,完成了信息安全态势感知系统的优化设计。实验表明,基于大数据和人工智能技术的信息安全态势感知系统与传统系统相比,显着提高了运行效率和准确性,可以有效满足海量数据的安全检测要求。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号