DocumentCode :
1827536
Title :
Summary: A System for the Automated Author Attribution of Text and Instant Messages
Author :
Donais, Jonathan A. ; Frost, Richard A. ; Peelar, Shane M. ; Roddy, Robert A.
fYear :
2013
fDate :
25-28 Aug. 2013
Firstpage :
1484
Lastpage :
1485
Abstract :
The paper presents a summary of the ChatSafe system described in “A System for the Automated Author Attribution of Text and Instant Messages” authored by undergraduate students Donais, Peelar, and Roddy with supervisor Dr. Richard A. Frost [1]. ChatSafe is an author attribution system intended for use with short message based communication, i.e. instant messaging or SMS. The authors presented a modified bayesian classifier, used internally by ChatSafe, that improves on the accuracy of a standard bayesian classifier on their metrics [1]. Finally, the authors noted avenues that may be worth pursuing to increase accuracy in ChatSafe. “A System for the Automated Author Attribution of Text and Instant Messages” is the first publication on ChatSafe and is the first work of the undergraduate authors.
Keywords :
Bayes methods; electronic messaging; pattern classification; security of data; ChatSafe system; SMS; automated author attribution; bayesian classifier; instant messages; text messages; undergraduate students; Accuracy; Bayes methods; Conferences; Extraterrestrial measurements; Probability density function; Social network services; Standards; Abuse and crime involving computers; Intrusion Detection; Security; authorship Attribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location :
Niagara Falls, ON
Type :
conf
Filename :
6785915
Link To Document :
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