Guardians of the Inbox: Exploring Cutting-Edge Spam Email Detection Techniques
Abstract
Unsolicited emails, often known as spam, pose a persistent and serious problem in today’s digital world and have become a big concern for every email user over the past few years. Users find it annoying, but individuals who fall victim to frauds and other attacks also suffer harm as a result. Spam emails are now manufactured, created, or written in such a unique way that anti-spam algorithms find it hard to recognise them. Email spamming strategies are becoming increasingly complex, shifting away from traditional and direct spamming approaches toward a more scalable, covert, and indirect method of using botnets to disseminate email spam. This chapter examines the persistent problem of spam email, its adverse effects, and practical methods for identifying and reducing it. It examines the origins and evolution of spam email, highlighting its detrimental effects on individuals, organizations, and society. It examines various detection techniques, including rule-based methods and machine learning algorithms. The chapter also examines mitigation techniques and countermeasures, including spam filters and blacklisting.
Fields of Study & Subjects
Spam and Phishing Detection
Hate Speech and Cyberbullying Detection
Text and Document Classification Technologies
Publication details
- Journal / source
- BENTHAM SCIENCE PUBLISHERS eBooks
- Pages
- 127–154
- Publication date
- 19 January 2026
- Document type
- Book chapter