FRAMEWORK FOR SURVEILLANCE OF MULTILINGUAL CONTENTS FROM EMAILS

The new trend of spammers and criminals in emails, for communicating spam and suspicious messages is via images embedded with multilingual text. We present an anti-spam and suspicious filtering framework for text-based and image-text messages with multilingual support. These suspicious messages are further classified that aid in predicting suspected cyber crime with details of culprits. Experimental result shows the precision efficacy of proposed system achieves best results with minimum false positive, when compared with existing state of spam filters.