Title :
SPOT 1.0: Scoring Suspicious Profiles on Twitter
Author :
Perez, Charles ; Lemercier, Marc ; Birregah, Babiga ; Corpel, Alain
Author_Institution :
ICD (Charles Delaunay Inst.), Univ. of Technol. of Troyes, Troyes, France
Abstract :
Everyday more than fifty million messages are generated by about two hundred million profiles on Twitter. Some users attempt to exploit the success of this micro logging platform and its relative freedom to perform malicious actions that can lead to identity or data theft. This work aims to propose a framework to assess suspicious behavior on Twitter. We present a tool developed for Scoring Suspicious Profiles On Twitter (SPOT 1.0) through a three-dimensional indicator that involves the degree of aggressiveness, the visibility and the level of danger.
Keywords :
security of data; social networking (online); SPOT 1.0; data theft; identity theft; microblogging platform; scoring suspicious profiles on twitter; social network analysis; three-dimensional indicator; Databases; Equations; Security; Support vector machines; Twitter; Unsolicited electronic mail; Twitter; aggressiveness; level of danger; social network analysis; support vector machine; suspicious profiles; visibility;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-61284-758-0
Electronic_ISBN :
978-0-7695-4375-8
DOI :
10.1109/ASONAM.2011.63
