DocumentCode
2382290
Title
Detection of Internet scam using logistic regression
Author
Sharifi, Mehrbod ; Fink, Eugene ; Carbonell, Jaime G.
Author_Institution
Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2011
fDate
9-12 Oct. 2011
Firstpage
2168
Lastpage
2172
Abstract
Internet scam is fraudulent or intentionally misleading information posted on the web, usually with the intent of tricking people into sending money or disclosing sensitive information. We describe an application of logistic regression to detection of Internet scam. The developed system automatically collects 43 characteristic statistics about websites from 11 online sources and computes the probability that a given website is malicious. We present its empirical evaluation, which shows that its precision and recall are about 98%.
Keywords
Internet; Web sites; computer crime; fraud; probability; regression analysis; Internet scam detection; Web sites; World Wide Web; fraudulent information; intentionally misleading information; logistic regression; online sources; probability; sensitive information; Encyclopedias; Google; Internet; Logistics; Security; Unsolicited electronic mail; Machine learning; web security;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1062-922X
Print_ISBN
978-1-4577-0652-3
Type
conf
DOI
10.1109/ICSMC.2011.6083998
Filename
6083998
Link To Document