A Strategy for Detecting Malicious Spam Emails using various Classifiers-Reference-Cited by-同舟云学术

A Strategy for Detecting Malicious Spam Emails using various Classifiers

Published:2022-09-21 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA)
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Author:

Abhishek S¹,Sathish Harsha¹,Kumar Arvind¹,Anjali T¹

Affiliation:

1. Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Amritapuri,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9985450/9985015/09985614.pdf?arnumber=9985614

Reference17 articles.

1. An Improved Spam Detection Method with Weighted Support Vector Machine

2. E-Mail Spam Detection Using SVM and RBF

3. PED-ML: Phishing email detection using classical machine learning techniques;vazhyil;Proc 1st AntiPhishing Shared Pilot 4th ACM Int Workshop Secur Privacy Anal (IWSPA),2018

4. Spam email detection using structural features;sarju;International Journal of Computer Applications,2014

5. Classifying Emails into Spam or Ham Using ML Algorithms

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