关键词: 网络赌博, 卷积神经网络(CNN), dHash算法, 分布式爬虫, 云平台, 自动识别

Abstract: Online gambling has serious information security risks, and effective discovery and recognition of gambling websites is of great significance to maintaining national financial stability. Aiming at the difficulty of discovering gambling websites, the paper proposes a solution that obtains the IP network segment owned by the cloud platform based on the AS information, traverses the IP to reverse resolve the domain name, and distributes crawling to obtain website screenshots. Aiming at the problem that gambling websites are difficult to recognize, such as some gambling sites are just a picture with a link to download a gambling APP, the solution uses the dHash algorithm to clean the positive samples, and trains a convolutional neural network (CNN) for binary classification of websites. The experimental results show that the solution has a strong generalization ability and less human participation, and can solve the problems in the discovery and recognition of gambling websites.

Key words: online gambling, convolutional neural network, dHash algorithm, distributed crawler, cloud platform, automatic recognition