Next Generation Email Security: AI Based Spam Detection
English | 2026 | ISBN: 8743810373 | 164 pages | True PDF,EPUB | 23.64 MB
This book presents AI-driven approaches for combating spam, phishing, and malware in email systems. It reviews classical techniques, identifies their limitations, and introduces two novel frameworks―FLIDA and G-SFO with adaptive capsule networks. It also highlights the role of quantum machine learning in enabling scalable and resilient email security.
Key Features
Concise review of classical and AI-based spam detection.
Innovative frameworks: FLIDA and G-SFO-ACapsNet.
Insights into quantum paradigms for cybersecurity.
Empirical evaluations and comparative performance analyses.
Open research issues and future perspectives.
This is a valuable resource for researchers, postgraduate students, and professionals in cybersecurity, AI, and data science, as well as industry practitioners and policymakers working on secure communication technologies.
Links are Interchangeable - Single Extraction
