Research on Anti-telecom Fraud Based on Artificial Intelligence and Edge Computing

This paper studies the artificial intelligence method based on the collaboration of edge and terminal, integrates the complementary advantages of the local computing and strong computing power of the two, realizes the characteristic recognition of telecom fraud behavior, and realizes the accurate and real-time anti-telecom fraud. By constructing a telecom fraud identification and defense system based on deep learning, the whole life cycle from post-analysis to pre-warning, in-process reminder and even blocking, post-monitoring feedback is realized, and the level of anti-telecom fraud technology is improved.