The ubiquitous integration of Internet of Things (IoT) devices into critical infrastructure, healthcare, an‎d smart cities has expan‎ded the cyber-attack surface exponentially. Unlike traditional IT environments, IoT networks consist of heterogeneous, resource-constrained devices that often lack the computational power to support stan‎dard defense mechanisms, leading to an escalation in sophisticated attacks like botnet-driven DDoS an‎d invasive privacy breaches. This seminar presents a systematic literature review aimed at dissecting the current threat lan‎dscape by analyzing vulnerabilities across the modern Five-Layer IoT Architecture (Perception, Transport, Processing, Application, an‎d Business). Each layer is critically examined to identify specific weaknesses, from physical tampering at the sensor level to complex authentication failures within business logic, necessitating a multi-tiered defense strategy. Furthermore, this study investigates emerging defensive paradigms tailored for these hardware constraints, including Lightweight Cryptography (e.g., ASCON an‎d PRESENT), Blockchain-based decentralized trust, an‎d Federated Learning for privacy preservation. These technologies represent a shift toward decentralized security, where trust is established without relying on a single point of failure. By eva‎luating real-world attack vectors, such as the Mirai botnet an‎d Stuxnet, the research highlights the devastating potential of IoT security failures an‎d the evolving methodologies used by adversaries to compromise industrial an‎d consumer systems. Finally, the seminar addresses practical deployment challenges, focusing on the critical trade-offs between security strength, communication latency, an‎d energy efficiency. The ultimate goal is to categorize robust security frameworks capable of operating within strict operational constraints, offering a strategic roadmap for securing the next generation of autonomous an‎d resilient IoT ecosystems. The findings aim to bridge the gap between theoretical cryptographic solutions an‎d the practical requirements of real-time, large-scale IoT deployments.

2/18/2026 12:00:00 AM

89739

1404/12/01

Security an‎d Privacy Preservation in IoT Networks: A Comprehensive Survey of Threat Mitigation an‎d Trust Management Frameworks

IoT Security , Privacy Preservation , Lightweight Cryptography , Blockchain , Federated Learning , Threat Mitigation , Trust Management , Five-Layer Architecture , Cyber-Physical Systems