关键词: 物联网卡, 安全监测, 业务稽核, 模糊C均值, 朴素贝叶斯

Abstract: At present, China's IoT network card users are developing rapidly, but operators lack of security supervision of IoT network card, which makes IoT network card abuse and embezzlement. This paper introduces the Internet of things card monitoring technology based on machine learning, which can use fuzzy c-means algorithm to audit online business, and use naive Bayesian algorithm to classify online content and SMS. Based on the above technology, this paper implements the Internet of things security risk monitoring system, and implements it in China Mobile Liaoning company. Under the premise of ensuring efficiency and accuracy, the system can find a large number of illegal IoT cards and effectively guarantee the security of IoT.

Key words: IoT card, security monitoring, business audit, fuzzy c-means, naive Bayes