Group harmful call detection method and device based on streaming data graph, and readable medium

Abstract

The invention provides a group harmful call detection method and device based on a streaming data graph, and a readable medium. The method comprises the steps: collecting CDR data of a plurality of users, decomposing the CDR data to obtain communication data, storing the communication data in a graph database, and obtaining a communication graph; extracting communication node statistics and related attributes and representations of sub-graphs from the communication graph based on a depth graph of a sliding window; setting related attributes and represented thresholds, and obtaining a suspicious personal call list through a Top-k sorting algorithm of the call depth map; confirming the corresponding harmful call group according to the contact closeness of the suspicious personal call. The method has the beneficial effects that the instantaneity and the accuracy are greatly improved, the current graph characteristics and record traceability of the call in combination with history can be checked in real time, the call is considered and confirmed in a mode of repeatedly listening to the call, and the analysis success rate of the group call can be increased.

Description

technical field [0001] The invention belongs to network science and telecommunication network data analysis, and in particular relates to a group harmful call detection method, device and readable medium based on stream data graph. Background technique [0002] With the popularity of wireless communication technology, mobile phones have become an essential way for people to make long-distance calls, bringing great convenience to life. However, everything has two sides. While wireless communication technology provides convenience for life, it is also easy to be used by criminals to commit crimes. Telecom fraud is a new type of fraud derived from the popularization of mobile communications. Fraud methods have caused huge losses to life and economy, and how to effectively detect harmful calls is imminent. [0003] At present, the widely used harmful call detection technology mostly discovers the potential trend of telecom fraud by analyzing the calling user's behavior. This ...

AI Technical Summary

Problems solved by technology

However, the above-mentioned methods all rely on post-processing analysis. Although they have a certain effect on the prevention of telecom fraud, they cannot achieve the expected effect.

In addition, the existing methods are not very accurate in detecting fraudulent gangs, and cannot timely and accurately analyze the location of fraudulent gangs and their members from massive data

Images