Spoofing E-Mail Detection Using Stacking Algorithm

Abstract

In 2021, email spoofing and phishing increased by 220 percent [10]. With such a large number, cybercriminals are exploiting opportunities to spoof emails and phish for valuable information and credentials. Consequently, the average cost of cybercrime was $4.24 million in 2021.Cyber threats come in all forms and configurations [10], so why email? Because email is where 94 percent of all malware enters a computer [10]. As a necessary consequence, it is preferable to secure emails. We investigated various approaches before actually presenting our approach to spoofing email detection. In this paper, we have discussed about the architecture model of stacking algorithm. We have also proposed stacking algorithm is one of the best performer algorithm with respect to accuracy and speed of operations for detecting spoof emails. We have compared few algorithms characteristics of machine learning.