Publication Type : Book Chapter
Publisher : IEEE
Source : International Conference on Inventive Research in Computing Applications (ICIRCA)
Url : https://ieeexplore.ieee.org/abstract/document/9985614
Campus : Amritapuri
School : School of Computing
Year : 2022
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.
Cite this Research Publication : Abhishek, S., Harsha Sathish, Arvind Kumar, and T. Anjali. "A strategy for detecting malicious spam emails using various classifiers." In 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), pp. 554-560. IEEE, 2022.