Image Spam Detection Using FENOMAA Technique

Today’s most important mean of communication is the e-mail that allows people all over the world to communicate, share data, and perform business. Yet there is nothing worse than an inbox full of spam; i.e., information crafted to be delivered to a large number of recipients against their wishes. Numerous anti-spam methods and solutions have been proposed and deployed, but they are not effective as most mail servers rely on blacklists and rules engine leaving a big part on the user to identify the spam, while others rely on filters that might carry high false positive rate. The proposed solution is “Image Spam Detection using FENOMAA Technique”. FENOMAA which stands for Feature Extraction Neural network with OCR enhanced by Mail Authentication and Analyzer of context is an aggregation of methods that detects spam and specifically image spam and is composed of four essential parts that include authentication, OCR enhanced by Neural Network, Feature Extraction enhanced by Neural Netwo...