June 4, 2026
Next Generation Email Security AI Based Spam Detection
Next Generation Email Security AI Based Spam Detection | 11.25 MB
Title: Next Generation Email Security: AI Based Spam Detection
Author: Ramjee Prasad
Category: Nonfiction, Computers, Networking & Communications, Computer Security, Advanced Computing, Computer Science, General Computing
Language: English | 164 Pages | ISBN: 9788743810414
Description:
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:
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.
DOWNLOAD: