Title :
Linking virtual and real-world identities
Author :
Alsarkal, Yaqoub ; Nan Zhang ; Yilu Zhou
Author_Institution :
Dept. of Comput. Sci., George Washington Univ., Washington, DC, USA
Abstract :
Today, one can find from the web vast amount of information about an individual. Specifically, such information can be classified into two categories, virtual and real-world identities. This paper addresses a novel problem of linking these two types of identities based on information publicly available on the web. We start by studying how one can link virtual identities (i.e., user profiles) at Twitter with real-world identities at Whitepages.com (containing personal information such as name, age, relatives, etc.). We demonstrate that a substantial portion (at least 0.17%) of Twitter users in the U.S. can indeed be potentially linked to their real-world identities through information available at Whitepages.com, revealing sensitive personal data. We discuss the implications of such identity linkages on both individual privacy and law enforcement, and also point out the future studies required in this topic.
Keywords :
data privacy; law administration; pattern classification; social networking (online); Twitter; Whitepages.com; individual privacy; information classification; law enforcement; real-world identity linkage; virtual identity linkage; Cities and towns; Couplings; Government; Joining processes; Privacy; Twitter; Twitter; Whitepages; identity elements; identity linkage; real world identity; virtual identity;
Conference_Titel :
Intelligence and Security Informatics (ISI), 2015 IEEE International Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4799-9888-3
DOI :
10.1109/ISI.2015.7165938