信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2019, Vol. 45 ›› Issue (1): 36-39.

上一篇    

基于运营商数据的骚扰电话识别框架研究

Researchonharassing call detection framework using mobile operator data

  

  • 出版日期:2019-01-15 发布日期:2020-12-04
  • 作者简介:
    卢晓妮:大数据算法与分析技术国家工程实验室,西安交通大学管理学院,博士
    褚启伍:大数据算法与分析技术国家工程实验室,西安交通大学软件学院,硕士
    赵玺:大数据算法与分析技术国家工程实验室,西安交通大学管理学院,教授

  • Online:2019-01-15 Published:2020-12-04

摘要: 如今骚扰电话日益猖獗,严重影响了人民群众的正常生活,也影响了社会的和谐进步。随着《综合整治骚扰电话专项行动方案》的出台,全国范围内开展了打击骚扰电话乱象的行动。本文提出基于运营商数据的骚扰电话识别框架,从运营商数据中提取出骚扰电话的典型特征以及被叫用户画像,利用离群点检测算法从一定程度上解决恶意标记带来的严重后果,并且利用多源特征训练骚扰电话识别模型,提升识别效率。

关键词: 运营商数据, 骚扰电话识别, 多源特征

Abstract: The increasing prevalence of harassing calls has seriously affected the normal life of people and social harmony. With the promulgation of the Special Action Plan for Comprehensive Rectification of Harassing Call, a nationwide action against harassing calls has been launched. This paper proposed a harassing call detection framework using mobile operator data. Typical features of harassing calls and profiles of called users are extracted. Outlier detection algorithm is used to mitigate the serious consequences of malicious call marking to a certain extent.And multi-source features are used to train the harassing call detection model, so as to effectively improve the detection efficiency.

Key words: mobile operator data, harassing call detection, multi-source feature