1Information Scientist, University Library, Department of Electronics, Department of Computer Science, Cochin University of Science and Technology, Kochi, Kerala, India
2Professor, University Library, Department of Electronics, Department of Computer Science, Cochin University of Science and Technology, Kochi, Kerala, India
3Pro Vice Chancellor, University Library, Department of Electronics, Department of Computer Science, Cochin University of Science and Technology, Kochi, Kerala, India
*(Corresponding author) Email id: linypaul@gmail.com
Emails involve some sort of fraud which is centred on obfuscation techniques to hide real words in the message from spam filters, but giving the readers same visual look of the real words. In response to these fraud problems, researchers have developed many methods to fight against obfuscated spam emails. This study focuses on educating the spam filter about obfuscation and deobfuscation process and thereby increasing the spamminess of an obfuscated email using an improved symmetric delete spelling correction algorithm.
Obfuscation, Deobfuscation, Spam, SpamAssassin, Symmetric delete spelling correction, Precalculated spell correction algorithm, Levenshtein algorithm
