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融合网络安全领域知识的Web指纹智能识别

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针对Web指纹识别能力有限的问题,提出了一种融合网络安全领域知识的Web指纹识别方法.通过构建网络安全领域的术语词典和使用预训练的专业领域词向量,将网络知识与Web指纹识别能力相融合,并合理利用了白字符和网页中的特殊关键字对识别结果进行优化.实验结果表明,多种模型在融合网络安全知识的策略以后,平均识别准确率从75.1%提高到82.5%、召回率从62.3%提高到75.7%、F1值从0.683提高到0.790.
Web Fingerprint Intelligent Recognition Integrating Knowledge in the Field of Network Security
Aiming at the limited ability of Web fingerprint identification,this paper puts forward a Web fingerprint identification method which integrates the knowledge of network security field.This method combines network knowledge with Web fingerprint recognition ability by constructing a term dictionary in the field of network security and using a pre-trained professional domain word vector,and optimizes recognition results by using white characters and special keywords in web pages.The experimental re-sults show that the average recognition accuracy of multiple models is increased from 75.1%to 82.5%,recall rate from 62.3%to 75.7%,F1 score from 0.683 to 0.790 after the integration of network security knowledge strategies.

web fingerprint recognitionwhite space character processingspecial keyword recognitionnetwork securityinte-grating knowledge

郝伟、尚守来、万飞

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安徽理工大学 计算机科学与工程学院,安徽 淮南 232991

北京华云安信息技术有限公司,北京 100084

Web指纹识别 白字符处理 特殊关键字识别 网络安全 知识融合

2024

盐城工学院学报(自然科学版)
盐城工学院

盐城工学院学报(自然科学版)

影响因子:0.133
ISSN:1671-5322
年,卷(期):2024.37(2)