Classification of E-mail (Phishy or Ham)
Jaydip Nakarani · International Journal for Research in Applied Science and Engineering Technology · 2020
Nowadays cyber-attacks are increase as compare to last 5 years.Hacker can attack on device through message, tricky image, e-mail etc. last few years hackers have done many cyber-attacks through text message and image.They send email to recipient (user) and tricked to click on malicious link, which can lead to the installation of malware, the freezing of the system as part of a ransom ware attack or the revealing of sensitive information.We want to classify this type of mail into whether it is Phishy or Ham.Our project aim is to classify received E-mail is Phishy E-mail or Ham.Machine learning algorithms and techniques used for predict received E-mail is Phishy or Ham.We are design one model which take input as raw data (M-BOX file which is contain text file of more than one E-mail) and predefined label and gives prediction of E-mail.We will use Supervised learning algorithm and Classification algorithm like Naïve Bayes, Support vector machine, Random forest, Decision tree etc. I.