信息网络安全 ›› 2020, Vol. 20 ›› Issue (9): 52-56.doi: 10.3969/j.issn.1671-1122.2020.09.011

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基于群体智能的网络安全协同防御技术研究

曾颖明(), 王斌, 郭敏   

  1. 北京计算机技术及应用研究所,北京 100854
  • 收稿日期:2020-07-16 出版日期:2020-09-10 发布日期:2020-10-15
  • 通讯作者: 曾颖明 E-mail:yingmingblue@163.com
  • 作者简介:曾颖明(1985—),男,江西,高级工程师,硕士,主要研究方向为网络防御、人工智能安全|王斌(1981—),男,山西,研究员,博士,主要研究方向为人工智能安全|郭敏(1991—),女,山东,工程师,硕士,主要研究方向为人工智能安全

Research on Collaborative Defense Technology of Network Security Based on Swarm Intelligence

ZENG Yingming(), WANG Bin, GUO Min   

  1. Beijing Institute of Computer Technology and Applications, Beijing 100854, China
  • Received:2020-07-16 Online:2020-09-10 Published:2020-10-15
  • Contact: Yingming ZENG E-mail:yingmingblue@163.com

摘要:

文章设计一种基于群体智能的网络安全协同防御框架,由数据接入与共享、主动预防、联合感知、协同响应等模块组成,同时研究了具有动态调整协同策略的集成学习算法,并将其应用于攻击事件检测模型中,提高检测准确率。文章还设计了基于蜂群算法的多安全组件协同响应方法,并进行了实验分析。

关键词: 群体智能, 集成学习, 协同防御, 蜂群算法

Abstract:

In this paper, a cooperative defense framework of network security based on swarm intelligence is designed, which is composed of data access and sharing, active prevention, joint perception and cooperative response, and an integrated learning algorithm with dynamic adjustment cooperative strategy is studied. it is applied to the attack event detection model to improve its detection accuracy. The cooperative response method of multiple security components based on bee colony algorithm is designed, and the experimental analysis is carried out, which provides the basic support for the research and realization of global awareness and cooperative defense among multiple security entities.

Key words: swarm intelligence, integrated learning, collaborative defense, bee colony algorithm

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