Method for analyzing fraudulent phone number

Abstract

The invention, which belongs to the field of communication network security and machine learning, discloses a method for analyzing a fraudulent phone number. The method includes: analyzing a behavioral characteristic and a behavior scene in a phone fraud event according to relevant fraud case experience and original call bill information of various telecommunication fraud events, and carrying out screening on original call bills for different behavior scenes; extracting and establishing multi-dimensional feature sets for different fraud types; establishing different types of fraud phone detection models by using a random forest algorithm, carrying out offline training on fraud phone number classification models periodically; carrying out quasi real-time detection and determination in an actual network; identifying a fraud phone event and a fraud phone number form lots of call bill information; and then carrying out reporting and processing on the fraud phone event and the fraud phone number by taking a corresponding way to maintain security of the telecommunications network. Therefore, a fraud phone number in communication can be identified effectively and accurately.

Description

technical field [0001] The invention belongs to the fields of communication network security and machine learning, and in particular relates to an analysis method for fraudulent phone numbers. Background technique [0002] In recent years, there has been an explosive trend in the use of telephone fraud, with a wide range of victims and huge amounts of money. Communication fraud has become a huge pain point for users. In 2013, there were more than 300,000 communication fraud cases across the country, and people were defrauded of 10 billion yuan; in 2014, there were more than 400,000 communication fraud cases nationwide, and people lost 10.7 billion yuan; A year-on-year increase of 32.5%, resulting in economic losses of 22.2 billion yuan. From January to August this year, there were 355,000 telecom fraud cases across the country, a year-on-year increase of 36.4%, resulting in a loss of 11.42 billion yuan. The report shows that in the past year, due to personal information le...

AI Technical Summary

Problems solved by technology

[0004] In view of the frequent occurrence of telecom fraud cases mentioned above, how to analyze junk numbers and identify fraudulent calls from numerous phone numbers, so as to help combat the increasingly rampant telecom fraud, maintain the security of the telecom network and the interests of telecom users, has become an urgent technical problem to be solved

[0005] In addition, there are various methods of fraudulent calls at present, often changing the number through software, and imitating banks, operators, acquaintances, social security, etc. to carry out fraudulent activities

It is difficult to identify whether it is a fraudulent call by analyzing individual phone numbers, and the identification accuracy is not high

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