Securing the Digital Frontier: Advanced frameworks for social media and IoT threats

The explosive growth of interconnected devices and digital platforms has led to cybersecurity becoming a cornerstone of modern technological infrastructure. In an era of AI-driven misinformation and smart IoT vulnerabilities, innovative defense mechanisms are more critical than ever.

This book offers a structured and insightful journey through the evolving landscape of cybersecurity, focusing on the pressing challenges posed by social media and IoT ecosystems. Readers explore ML frameworks designed to detect fake news and distorted social media campaigns, followed by methods to identify fake Instagram profiles and prevent impersonation. The discussion advances into technical territory with a threat surface analysis of smart IoT cameras, offering metrics to address their unique vulnerabilities. The book concludes by introducing a novel cryptographic hash function and a comparative analysis of IoT communication protocols.

By the end of this book, readers will be well-equipped with the knowledge and practical skills needed to identify, analyze, and mitigate cybersecurity threats across social media and IoT ecosystems. They will gain hands-on expertise in machine learning-based threat detection, firmware analysis, protocol evaluation, and advanced cryptographic techniques, empowering them to build and maintain more secure digital environments.