Fraud Phone Calls Analysis Based on Label Propagation Community Detection Algorithm

Lu Peng, Rongheng Lin
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引用次数: 11

Abstract

With the continuous development of communications industry, the majority of users gradually enjoy a variety of communications services. In the meantime, however, more and more fraud phones appears in the user's daily life. Although there are currently many interception schemes for fraud phones, they all belong to passive interception and rely on intelligent terminals. Therefore, this paper proposes a fraud phone calls analysis method based on label propagation community detection algorithm (LPA). Call content data are transformed into complex network. The LPA algorithm is used to generate fraud communities on this complex network. Detail analysis is also carried out for extracting the detail of communities. Results show that the methods can help to quickly identity the fraud phone calls.
基于标签传播社区检测算法的诈骗电话分析
随着通信行业的不断发展,广大用户逐渐享受到各种各样的通信服务。然而,与此同时,越来越多的诈骗电话出现在用户的日常生活中。虽然目前针对诈骗电话的拦截方案很多,但都属于被动拦截,依赖于智能终端。为此,本文提出了一种基于标签传播社区检测算法(LPA)的诈骗电话分析方法。呼叫内容数据被转换成复杂的网络。利用LPA算法在该复杂网络上生成欺诈社区。并进行了细节分析,提取群落细节。结果表明,该方法可以帮助快速识别诈骗电话。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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