• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Security and Networks >A cloud/edge computing streaming system for network traffic monitoring and threat detection
【24h】

A cloud/edge computing streaming system for network traffic monitoring and threat detection

机译：用于网络流量监控和威胁检测的云/边缘计算流系统

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The unyielding trend of increasing cyber threats has made cyber security paramount in protecting personal and private intellectual property. To provide a highly secured network environment, network threat detection systems must handle real-time big data from varied places in enterprise networks. In this paper, we introduce a streaming-based threat detection system that can rapidly analyse highly intensive network traffic data in real-time, utilising streaming-based clustering algorithms to detect abnormal network activities. The developed system integrates the high-performance data analysis capabilities of Flume , Spark and Hadoop into a cloud-computing environment to provide network monitoring and intrusion detection. Our performance evaluation validates that the developed system can cope with a significant volume of streaming data in a high detection accuracy and good system performance. We further extend our system for edge computing and discuss some key challenges, as well as some potential solutions, aiming to improve the scalability of our system.
机译：增加网络威胁的不屈不挠的趋势使网络安全至关重要保护个人和私立知识产权。为了提供高度安全的网络环境，网络威胁检测系统必须处理来自企业网络中各种场所的实时大数据。在本文中，我们介绍了一种基于流的威胁检测系统，可以实时地快速分析高度密集的网络流量数据，利用基于流式的聚类算法来检测异常网络活动。开发系统将Flume，Spark和Hadoop的高性能数据分析功能集成到云计算环境中，以提供网络监控和入侵检测。我们的绩效评估验证了开发系统可以以高检测精度和良好的系统性能应对大量流式流数据。我们进一步扩展了我们的边缘计算系统，并讨论了一些关键挑战，以及一些潜在的解决方案，旨在提高我们系统的可扩展性。

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