基于形影关系的轻量级异常账号检测方案

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英文篇名：Lightweight Abnormal Account Detection Scheme Based on Body-shadow Relation 作者：李海霞 ; 张勇敢 英文作者：LI Hai-xia;ZHANG Yong-gan;School of Information Engineering, Putian University; 关键词：形影关系 ; 异常账号 ; 社交网络 ; 多维度 ; 轻量级 ; 检测 英文关键词：body-shadow relationship;;abnormal account;;social network;;multidimension;;lightweight;;detection 中文刊名：GXJB 英文刊名：Journal of Lanzhou University of Arts and Science(Natural Science Edition) 机构：莆田学院信息工程学院; 出版日期：2019-05-10 出版单位：兰州文理学院学报(自然科学版) 年：2019 期：v.33;No.130 基金：福建省中青年教师教育科研项目(JA15456);; 莆田学院科研基金项目(2016040);莆田学院教育教学改革研究项目(JG201649) 语种：中文; 页：GXJB201903006 页数：3 CN：03 ISSN：62-1212/N 分类号：35-37

摘要

针对现有社交网络异常账号检测方案的不足,从泛系形影关系的角度探讨了社交网络中异常账号检测方案,分别提出了基于形影关系的轻量级异常账号检测方案,并结合时间维度的多维度检测方案,大大减少了检测工作量.
        In view of the shortcomings of existing anomaly account detection schemes in social networks, this paper discusses anomaly account detection schemes in social networks from the perspective of Pan-system shadow relations, and proposes lightweight anomaly account detection schemes based on shadow relations and multi-dimensional detection schemes combined with time dimension, which greatly reduces the detection workload.

引文

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