DocumentCode :
185005
Title :
Authorship Authentication Using Short Messages from Social Networking Sites
Author :
Li, Jenny S. ; Monaco, John V. ; Li-Chiou Chen ; Tappert, Charles C.
Author_Institution :
Seidenberg Sch. of Comput. Sci. & Inf. Syst, Pace Univ., White Plains, NY, USA
fYear :
2014
fDate :
5-7 Nov. 2014
Firstpage :
314
Lastpage :
319
Abstract :
This paper presents and discusses several experiments in authorship authentication of short social network postings, an average of 20.6 words, from Facebook. The goal of this research is to determine the degree to which such postings can be authenticated as coming from the purported user and not from an intruder. Various sets of stylometry and ad hoc social networking features were developed to categorize short messages from thirty Facebook authors as authentic or non-authentic using Support Vector Machines. The challenges of applying traditional stylometry on short messages were discussed. The test results showed the impact of sample size, features, and user writing style on the effectiveness of authorship authentication, indicating varying degrees of success compared to previous studies in authorship authentication.
Keywords :
authorisation; social networking (online); support vector machines; Facebook; ad hoc social networking features; authorship authentication; short messages; short social network postings; stylometry; support vector machines; user writing style; Accuracy; Authentication; Electronic mail; Facebook; Support vector machines; Writing; Authorship authentication; intrusion detection; language-based security; social network; stylometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Business Engineering (ICEBE), 2014 IEEE 11th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4799-6562-5
Type :
conf
DOI :
10.1109/ICEBE.2014.61
Filename :
6982099
Link To Document :
بازگشت