基于多模态数据的博彩网站检测识别模型

doi:10.3969/j.issn.1671-1122.2023.10.011

摘要/Abstract

摘要：

文章提出一种基于多模态数据的博彩网站检测识别模型，首先构建基于文本特征的Bert特征提取模型和基于图像特征的VGG19特征提取模型；然后通过特征融合及改变损失函数的方式提升博彩网站检测识别分类效果。在自建的正负样本1:5、1:10和1:20的数据集上对模型进行验证，实验结果表明，正负样本不均衡情况越明显，该模型的优势越明显，越能高效检测识别博彩网站。

关键词: 多模态, 博彩网站, 特征提取

Abstract:

This paper proposed a gambling website detection and recognition model based on multimodal data. Firstly, it constructed a Bert feature extraction model based on text features and a VGG19 feature extraction model based on image features; secondly, the method improved the classification effect of gambling website detection and recognition based on feature fusion and changing the loss function; lastly, this paper validated the method on self-constructed positive and negative samples of 1:5, 1:10, and 1:20 datasets. The experimental results indicate that the more obvious the imbalance of positive and negative samples is, the more obvious the advantage of the proposed method is, and it can detect and recognise gambling websites well.

Key words: multi-modal, gambling website, feature extraction

中图分类号:

TP309

赵欣荷, 谢永恒, 万月亮, 汪金苗. 基于多模态数据的博彩网站检测识别模型[J]. 信息网络安全, 2023, 23(10): 77-82.

ZHAO Xinhe, XIE Yongheng, WAN Yueliang, WANG Jinmiao. Detection and Identification Model of Gambling Websites Based on Multi-Modal Data[J]. Netinfo Security, 2023, 23(10): 77-82.

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软硬件名称	软硬件配置
操作系统	Windows 11
CPU	11th Gen Intel(R) Core(TM) i7-11800H @2.30 GHz (16 CPUs), 2.3 GHz
GPU	NVIDIA GeForce RTX 3070 Laptop GPU
内存	32 GB
IDE	PyTorch 1.12.1+cu113+PyCharm 2023.1.1
开发语言及版本	Python 3.8
第三方包	torch、nn、numpy、sklearn等

模型	Accuracy	Precision	Recall	F1
Bert	0.932	0.932	0.931	0.931
VGG16	0.850	0.849	0.851	0.850
VGG19	0.873	0.870	0.879	0.874
Bert-VGG16	0.942	0.944	0.940	0.942
Bert-VGG19	0.951	0.954	0.948	0.951

正负样本比例	模型	Accuracy	Precision	Recall	F1
1:1	Bert-VGG19	0.951	0.954	0.948	0.951
1:1	Bert-VGG19-FL	0.956	0.959	0.954	0.956
1:5	Bert-VGG19	0.939	0.821	0.813	0.817
1:5	Bert-VGG19-FL	0.976	0.938	0.919	0.928
1:10	Bert-VGG19	0.937	0.615	0.808	0.698
1:10	Bert-VGG19-FL	0.978	0.857	0.909	0.882
1:20	Bert-VGG19	0.928	0.389	0.700	0.500
1:20	Bert-VGG19-FL	0.985	0.818	0.900	0.857

Bert		真实结果
Bert		正例（博彩）	反例（正常）
预测结果	正例（博彩）	TP：160	FP：80
预测结果	反例（正常）	FN：38	TN：910
Bert-VGG19		真实结果
Bert-VGG19		正例（博彩）	反例（正常）
预测结果	正例（博彩）	TP：161	FP：35
预测结果	反例（正常）	FN：37	TN：955
VGG19		真实结果
VGG19		正例（博彩）	反例（正常）
预测结果	正例（博彩）	TP：155	FP：101
预测结果	反例（正常）	FN：43	TN：889
Bert-VGG19-FL		真实结果
Bert-VGG19-FL		正例（博彩）	反例（正常）
预测结果	正例（博彩）	TP：182	FP：12
预测结果	反例（正常）	FN：16	TN：978