DocumentCode :
653264
Title :
Moments in Time: A Forensic View of Twitter
Author :
Howden, Chris ; Lu Liu ; ZhiJun Ding ; Yongzhao Zhan ; Lam, K.P.
Author_Institution :
Sch. of Comput. & Math., Univ. of Derby, Derby, UK
fYear :
2013
fDate :
20-23 Aug. 2013
Firstpage :
899
Lastpage :
908
Abstract :
Online social networks have become a ubiquitous and important part of the modern, developed society. Modifications in social conduct within these often forced closed spaces are noted, these side effects well documented. The potential for evidence gathering and research into changing human behaviour and social norms is undoubted, but the networks pose significant problems to digital forensic investigators that are not experienced offline. Data will reside on multiples of servers in multiple countries, across multiple jurisdictions. Capturing it before it is overwritten or deleted is a known problem, mirrored in other cloud based services. This paper will examine the background to social networking sites, potential behaviour sets experienced on-line and the application of current law and forensic methodologies. This paper will then take a view of the social networking site Twitter by adopting a formal approach to the examination, extraction and analysis of data. This paper will identify a known problem, status removal and offer a novel, yet simple method for determining what has been removed.
Keywords :
data analysis; digital forensics; social networking (online); Twitter; data analysis; data examination; data extraction; digital forensic investigators; human behaviour; online social networks; social conduct; social norms; Computational modeling; Data mining; Data models; Digital forensics; Twitter; Cloud Computing; Digital Forensics; Online Social Networks; Social Network Forensic Analysis; Twitter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.157
Filename :
6682171
Link To Document :
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