MLSPD - Machine Learning Based Spam and Phishing Detection
MLSPD - Machine Learning Based Spam and Phishing Detection is a scholarly work by Timo Hämäläinen, published in 2018 in ''Lecture Notes in Computer Science''. The main subjects of the publication include password, blacklist, Internet privacy, artificial intelligence, intrusion detection system, computer security, forum spam, Internet, Android, machine learning, World Wide Web, computer science, phishing, spambot, electronic spam, and identity theft. The previous studies showed that 91% of the cyber attacks start with the phishing emails, which contain Uniform Resource Locator (URLs).