Improved spam filtering by extraction of information from text embedded image e-mail

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2009, Pages 1754-1755

  Youn, Seongwook ^a   McLeod, Dennis ^a  

^a University of Southern California   (United States)

Author keywords

E mail classification; Feature selection; OCR; Ontology; Spam filtering

Indexed keywords

ANTI-SPAM FILTERING; CONTENT BASED FILTERING; E-MAIL CLASSIFICATION; EMBEDDED IMAGES; EXTRACTION OF INFORMATION; GLOBAL ONTOLOGY; KEY TECHNIQUES; MACHINE-LEARNING; SECOND LEVEL; SPAM EMAILS; SPAM FILTER; SPAM FILTERING; SPAM FILTERING TECHNIQUE; SPAMMERS; TEXT CLASSIFICATION; TEXT MESSAGES;

ELECTRONIC MAIL; MAIL HANDLING; MILITARY PHOTOGRAPHY; ONTOLOGY; SPAMMING; TEXT PROCESSING;

INTERNET;

EID: 72949095421     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1529282.1529677     Document Type: Conference Paper

References (3)

1. Biggio, B., Fumera, G., Pillai, I., Roli, F. Image Spam Filtering Using Visual Information. In Proceedings of ICIAP, 2007, 105-110.
2. Fumera, G., Pillai, I., and Roli, F. Spam Filtering Based On The Analysis Of Text Information Embedded Into Images. Journal of Machine Learning Research 6, (2006), 2699-2720.
3. Youn, S. and McLeod, D. Spam E-mail Classification using an Adaptive Ontology, Journal of Software (JSW), 2, 3 (2007), 43-55