Cyberscurity Threats and Defense Mechanisms in IoT network

2026-01-02

arXiv.org

AI Summary

The rapid proliferation of IoT devices has intensified cybersecurity threats, particularly in real-time monitoring systems where network and application layers converge, exposing critical vulnerabilities such as sensor exploits, denial-of-service attacks, and public cloud security risks. This work proposes a novel five-layer IoT security model through a systematic review of 59 studies published between 2009 and 2024, integrating AI-driven anomaly detection, blockchain-enabled decentralized trust mechanisms, and zero-trust architecture to enable cross-layer collaborative defense. The study identifies three core threat categories, distills effective mitigation strategies, and prospectively examines the potential of quantum computing and 6G networks to enhance the resilience of IoT ecosystems, thereby offering both theoretical foundations and practical pathways for building highly resilient security frameworks.

Technology Category

• Application Domains: Internet of Things, Sensor Networks & Smart Cities
• Machine Learning: Learning on the Edge & Model Compression
• Intelligent Robots: Multi-Robot Systems

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Web applications in cross-disciplinary domains and verticals such as mixed reality, smart cities, and digital health
• Security and Privacy: Large-scale security measurements
• User Modeling, Personalization and Recommendation: Attacks and countermeasures in recommendation systems

Abstract

The rapid proliferation of Internet of Things (IoT) technologies, projected to exceed 30 billion interconnected devices by 2030, has significantly escalated the complexity of cybersecurity challenges. This survey aims to provide a comprehensive analysis of vulnerabilities, threats, and defense mechanisms, specifically focusing on the integration of network and application layers within real-time monitoring and decision-making systems. Employing an integrative review methodology, 59 scholarly articles published between 2009 and 2024 were selected from databases such as IEEE Xplore, ScienceDirect, and PubMed, utilizing keywords related to IoT vulnerabilities and security attacks. Key findings identify critical threat categories, including sensor vulnerabilities, Denial-of-Service (DoS) attacks, and public cloud insecurity. Conversely, the study highlights advanced defense approaches leveraging Artificial Intelligence (AI) for anomaly detection, Blockchain for decentralized trust, and Zero Trust Architecture (ZTA) for continuous verification. This paper contributes a novel five-layer IoT model and outlines future research directions involving quantum computing and 6G networks to bolster IoT ecosystem resilience.

Problem

• IoT security
• cybersecurity threats
• vulnerabilities
• Denial-of-Service attacks
• cloud insecurity

Innovation

• Five-layer IoT security model
• AI-driven anomaly detection
• Blockchain for decentralized trust
• Zero Trust Architecture
• Quantum-secure IoT