Application and optimization of intrusion detection system based on Artificial Intelligence

被引：0

作者：

Zhu, Kaidi ^{[1
]}

Wu, Xiangwen ^{[2
]}

Yu, Sun ^{[3
]}

Huo, Da ^{[4
]}

Li, Rui ^{[1
]}

Pei, Xikai ^{[1
]}

机构：

[1] Second Res Inst CAAC, Chengdu, Peoples R China

[2] Inner Mongolia Autonomous Reg Civil Airports Grp, Hulun Buir Branch, Hulunbeir, Peoples R China

[3] North China Regionnal Air Traff Management Bur CA, Beijing, Peoples R China

[4] China Civilaviat Adm, Air Traff Management Bur, Beijing, Peoples R China

来源：

PROCEEDINGS OF 2020 IEEE 2ND INTERNATIONAL CONFERENCE ON CIVIL AVIATION SAFETY AND INFORMATION TECHNOLOGY (ICCASIT) | 2020年

关键词：

image processing; machine learning; Intrusion Detection Technology; Microwave array technology;

D O I：

暂无

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

The traditional perimeter intrusion detection system will be faced more challenges in the new era, such as high-accuracy positioning, low energy dependence, high environmental robustness and so on. This paper introduces a new type of artificial intelligence intrusion detection technology. The RF sensor chip is embedded in the detection cable, and the radio frequency electromagnetic environment is formed in space through the sending and receiving of radio frequency signal, which is used to sense the surrounding environment to detect electromagnetic field.Using advanced space-time signal processing technology and machine learning technology, the influence of environmental interference on the system is effectively eliminated, and the intrusion detection system based on artificial intelligence algorithm has lower false alarm rate and higher environmental robustness.

引用

页码：1053 / 1058

页数：6

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[2]

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[3]

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