Digital Trust

Summary

The book advocates for a global digital identification system inspired by successful national models to counter cybercrime and manage multiple online identities. Through its cohesive approach, it redefines digital governance, promotes ethical online engagement, and strengthens authenticity, privacy, and accountability in a rapidly evolving virtual world.

Framework and Technologies

It presents a comprehensive framework that merges Deep Learning (DL), Natural Language Processing (NLP), and advanced technologies such as IoT, RFID, GPS, and facial-age detection to ensure age-appropriate online interactions.

Addressing Challenges

The book addresses harmful content, excessive screen time, and privacy threats through AI-driven content monitoring, health-risk detection, and user authentication mechanisms that identify underage users, fraudulent profiles, and unauthorized access—while minimizing energy consumption and moving beyond SIM-based systems.

Proposed Model

It further proposes a global digital identification model, inspired by successful national initiatives, to combat cybercrime and manage multiple online identities.

Target Audience

This volume offers researchers, policymakers, and technology developers an integrated approach to building safer, more ethical, and accountable digital environments.