H. Lam, D. Yeung, “A Learning Approach to Spam Detection based on Social Networks,” In Proceedings of 4th Conference on E-mail and Anti-Spam, 2007.
A. Pathak, S. Roy, Y. Hu, “A Case for a Spam-Aware Mail Server Architecture,” In Proceedings of 4th Conference on E-mail and Anti-Spam, 2007.
Spam Filter Review, 2007. http://spam-filter-review.toptenreviews.com.
G. Fumera, I. Pillai, F. Roli, “Spam Filtering Based On The Analysis Of Text Information Embedded Into Images,” Journal of Machine Learning Research, Volume 6, pp. 2699-2720, 2006.
B. Biggio, G. Fumera, I. Pillai, F. Roli, “Image Spam Filtering Using Visual Information,” In Proceedings of ICIAP, pp. 105-110, 2007
IBM X-Force Mid-Year Trend and Risk Report, “http://www-03.ibm.com/security/xforce/downloads.html”
S. Youn, D. McLeod, “Spam E-mail Classification using an Adaptive Ontology,” In Journal of Software, Volume 2, No. 3, pp. 43-55, Sep 2007.
A. Gupta, C. Singhal, S. Aggarwal, “Identification of Image Spam by Using Low Level & Metadata Features,” In International Journal of Network Security & ITS Applications, Volume 4, No. 2, Mar 2012.
N. Woods, O. Longe, A. Roberts, “A Sobel Edge Detection Algorithm Based System for Analyzing and Classifying Image Based Spam,” In Journal of Emerging Trends in Computing and Information Sciences, Volume 3, No 4, Apr 2012.
M. Dredze, R. Gevaryahu, A. Elias-Bachrach, “Learning Fast Classifiers for Image Spam,” In Proceedings of 4th Conference on E-mail and Anti-Spam, 2007.
The CAPTCHA project, 2000. http://www.captcha.net.
B. Byun, C. Lee, S. Webb, C. Pu, “A Discriminative Classifier Learning Approach to Image Modeling and Spam Image Identification,” In Proceedings of 4th Conference on E-mail and Anti-Spam, 2007.
M. Sahami, S. Dumais, D. Heckerman, E. Horvitz, “A Bayesian approach to filtering junk e-mail,” In AAAI Technical Report WS-98-05, Madison, Wisconsin, 1998.
P. Graham, “A plan for spam,” http://paulgraham.com/spam.html.
L. Zhang, J. Zhu, T. Yao, “An evaluation of statistical spam filtering techniques,” In ACM Transactions on Asian Language Information Processing, Vol. 3, No. 4, pp. 243-269, 2004.
The SpamAssassin project. http://spamassassin.apache.org/.
H. Aradhye, G. Myers, J. Herson, “Image analysis for efficient categorization of image-based spam e-mail,” In Proceedings of Int. Conf. Document Analysis and Recognition, pp. 914-918, 2005.
Basheer Al-Duwairi, Ismail Khater, Omar Al-Jarrah, “Detecting Image Spam Using Texture Features”, International Journal for Information Security Research (IJISR), Volume 2, Issues 3/4, pp. 344-353, September / December 2012
Abdolrahman Attar, Reza Moradi Rad, Reza Ebrahimi Atani, “A survey of image spamming and filtering techniques,” Artificial Intelligence Review, 40(1), pp. 71-105, 2013
The JOCR. http://jocr.sourceforge.net/links.html.
The SimpleOCR. http://www.simpleocr.com/.
The Asprise OCR. http://asprise.com/product/ocr/selector.php.
The WEKA. http://www.cs.waikato.ac.nz/ml/weka/.
The RDF. http://www.w3.org/RDF/.
The Jena. http://jena.sourceforge.net/.
The The Brighmail AntiSpam by Symantec. http://www.symantec.com/business/products/overview.jsp?pcid=psc_msg_security&pvid=835_1.