Email Behaviour Detection Using Text Recognisation

EasyChair Preprint 7627

Abstract

Emailing have replaced modern messing whether it is personal or professional messaging all the industries depend on emailing even email is official messaging platform for Government organizations. with more and more usages of emailing made it prone to security issues like Malicious Email or email which have is an attack by attacker which creates a duplicate of an existing web page to make fool users in to submitting personal, financial, or password details data to what they think is their service provider’s website. There are many solutions available to stop security issues like firewall extra.

To categories. email for a range of activities, machine learning and AI based detection algorithms are implemented to model the user's email behavior. The method have been used to find content based behavior of email clustering and classification, spam detection, and forensic analysis to provide information about user behavior.

This paper advocate categorization of email on the bases of it content whether is useful or dangerous for society

Keyphrases: DNN [Deep Neural Network], KNN [K-Nearest Neighbor], SVM [Support Vector Machine]

@booklet{EasyChair:7627,
  author    = {Utkarsh Agarwal and Shubham Rastogi and Srashti Singhal},
  title     = {Email Behaviour Detection Using Text Recognisation},
  howpublished = {EasyChair Preprint 7627},
  year      = {EasyChair, 2022}}