Analyzing tweets to identify malicious messages

IEEE International Conference on Electro Information Technology

Volumn , Issue , 2011, Pages

  Beck, Kristofer ^a  

^a DAKOTA STATE UNIVERSITY   (United States)

Author keywords

machine learning; phishing; social networking; spam; Twitter

Indexed keywords

FACEBOOK; LOGISTIC REGRESSION MODELS; PHISHERS; PHISHING; PHONE CALLS; SPAM; SPAM EMAILS; SPAM MESSAGES; SPAMMERS; TWITTER; WEB FORMS;

COMPUTER CRIME; DIAGNOSTIC RADIOGRAPHY; ELECTRONIC MAIL; INTERNET; REGRESSION ANALYSIS; SOCIAL SCIENCES COMPUTING; USER INTERFACES;

SOCIAL NETWORKING (ONLINE);

EID: 80155131180     PISSN: 21540357     EISSN: 21540373     Source Type: Conference Proceeding    
DOI: 10.1109/EIT.2011.5978594     Document Type: Conference Paper

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