Comprehensive IoT SIM Card Anomaly Detection Algorithm Based on Big Data

Abstract

The mobile Internet of Things (IoT) industry in China has developed rapidly and is expected to maintain rapid growth in the next decade. For the three mobile operators in China, IoT gradually becomes the new/key engine for profit growth. However, at the early stage of IoT development, due to the low cost of IoT SIM card, some illegal organizations and individuals take advantage of this loophole to earn illegal profits, which cause huge losses for mobile operators. In this paper, we explore comprehensive abnormal IoT SIM card detection algorithm based on IoT big data. For different IoT scenarios, this paper proposes two kinds of algorithms, including various rule-based detection algorithm (RDA) and AI-based detection algorithm (AIDA). The result of use case also shows that RDA and AIDA can greatly improve the anomaly detection accuracy and can benefit both of the telecommunication operators and enterprise customers.