DATA VISUALIZATION FOR SOCIAL NETWORK FORENSICS

被引：0
|
作者：
Mulazzani, Martin [1 ,2 ]
Huber, Markus [1 ,2 ]
Weippl, Edgar [1 ,2 ]
机构：
[1] Vienna Univ Technol, Comp Sci, A-1040 Vienna, Austria
[2] SBA Res, Vienna, Austria
来源：
ADVANCES IN DIGITAL FORENSICS VIII | 2012年 / 383卷
关键词：
Social networks; online forensics; visualization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With hundreds of millions of users worldwide, forensic data extraction from social networks has become an important research problem. However, forensic data collection is tightly connected to social network operators, which leads to problems related to data completeness and data compatibility. This paper discusses the important data sources and analytical methods for the forensic analysis of social networks. It shows how the data sources can be evaluated in an automated fashion without assistance from social network operators. While the proposed methods apply to the vast majority of social networks, their feasibility is demonstrated using a Facebook case study.
引用
收藏
页码：112 / 123
页数：12
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