Email spam: A comprehensive review of optimize detection methods, challenges, and open research problems

• Main Authors: Tusher, Ekramul Haque, Mohd Arfian, Ismail, Rahman, Md Arafatur, Alenezi, Ali H., Uddin, Mueen
• Format: Article
• Language: English; English; English
• Published: IEEE 2024
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/42645/1/Email%20spam-A%20comprehensive%20review%20of%20optimize%20detection%20methods_ABST.pdf; http://umpir.ump.edu.my/id/eprint/42645/2/Email%20spam-A%20comprehensive%20review%20of%20optimize%20detection%20methods.pdf; http://umpir.ump.edu.my/id/eprint/42645/13/Email_Spam_A_Comprehensive_Review_of_Optimize_Detection_Methods_Challenges_and_Open_Research_Problems.pdf; http://umpir.ump.edu.my/id/eprint/42645/; https://doi.org/10.1109/ACCESS.2024.3467996; https://doi.org/10.1109/ACCESS.2024.3467996

Nowadays, emails are used across almost every field, spanning from business to education. Broadly, emails can be categorized as either ham or spam. Email spam, also known as junk emails or unwanted emails, can harm users by wasting time and computing resources, along with stealing valuable informati...