中国P站

Abstract

This collection of studies examines diverse facets of modern cybersecurity, covering threats and defenses across various technological landscapes. Focus areas include Artificial Intelligence (AI) and Machine Learning (ML) techniques for detecting cyberattacks in Internet of Things (IoT) environments, alongside the application of Federated Learning (FL) to enhance privacy and security through collaborative model training. We also look at blockchain technology’s role in securing healthcare systems and the crucial impact of human factors on cybersecurity vulnerabilities. Addressing specific challenges in smart homes and Cyber-Physical Systems (CPS), these works collectively identify research gaps and propose future directions for robust, privacy-preserving security solutions in an increasingly interconnected digital world.