Email spam detection using Amazon web services (AWS)
Kirti Sharma, Tarul, S. R. N. Reddy · 2025
Email spam remains a persistent cybersecurity threat, leading to the necessity of development of spam detection using the power of machine learning and scalable infrastructure. This research paper presents a novel approach to implement email spam detection using cloud computing platforms, specially focusing on Amazon Web Services (AWS). Using AWS Services such as Simple Email Service (SES), Lambda, and S3, we develop a spam filtering system. Multi- Criteria Decision Making (MCDM) analysis is used in order to select the most suitable cloud platform for email spam detection, with AWS emerging as the preferred choice based on criteria including integration with email services, machine learning capabilities, scalability, and security features. The architecture suggested shows the proposed solution using BlazingText algorithm gives an accuracy of 97.22% with an advantage of applicability of the architecture to the real world.