A Strategy for Detecting Malicious Spam Emails using various Classifiers
S Abhishek, Harsha Sathish, Arvind Kumar, T Anjali
20222022 4th International Conference on Inventive Research in Computing Applications (ICIRCA)16 citationsDOI
Abstract
Today's society relies heavily on electronic mail as the primary method of exchanging essential information. Emails are a simple and quick way to share and receive electronic communication. Gmail, Hotmail, Yahoo! Mail, and Outlook are just a few software platforms and programs that may transmit and receive data. Spam emails have risen in tandem with the enormous increase in email usage. This paper proposes a strategy for detecting malicious spam emails using various classifiers, and compares typical Machine Learning algorithms based on accuracy, recall, and precision.
Topics & Concepts
Computer scienceElectronic mailPrecision and recallSpambotMachine learningSpammingWorld Wide WebArtificial intelligenceThe InternetSpam and Phishing DetectionNetwork Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting