Research on Network Security Collaborative Defense Technology Based on Swarm Intelligence and Big Data Network Security

被引:0
|
作者
Bingjie, Yu [1 ]
Huifeng, Yang [1 ]
Chenjun, Sun [1 ]
Zhi, Zhang [1 ]
Jinghang, Fan [1 ]
机构
[1] State Grid Hebei Information & Telecommunication Branch, Hebei, Shijiazhuang,050000, China
来源
Engineering Intelligent Systems | 2021年 / 29卷 / 06期
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摘要
Currently, Internet technology and the construction of Internet platforms are undergoing a great deal of development with new technologies being applied to upgrade and optimize the performance of various Internet platforms, which in turn creates a good environment for the development of various network technologies. The evolution of technology for cloud computing and the Internet of Things (IoT), has led to changes in data types and data processing methods. Moreover, the network technologies have generated a great deal of unstructured data, greatly enriching the content of network databases and ushering in the era of big data. The rich resources offered by the big data platform and their potential for resolving problems and improving efficiency, can be used to advantage but only if big data and data fusion processes are well-understood. Much of the research and analysis of the technologies related to big data have been inspired by patterns of behaviour observed in insect communities, which has led to the development and optimization of the swarm intelligence algorithm. This paper examines and analyzes the security issues associated with the Internet platform, proposes a collaborative network security defense mechanism, and provides a reference for the construction of a secure Internet environment. © 2021 CRL Publishing Ltd.
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页码:379 / 386
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