Trust management challenges and features in edge-enabled IoT security
Trust in Edge-Enabled IoT Security: Features, Challenges and Research Directions
Cryptography and SecurityArtificial IntelligenceComputers and SocietyEmerging TechnologiesNetworking and Internet Architecture
Summary
As many everyday devices connect to the internet through the Internet of Things (IoT), keeping these devices secure becomes more complicated when edge computing is used to process data closer to the devices. This paper by the authors explains how trust management helps decide which devices and services can be trusted in these complex networks. They review existing research on how trust is designed and attacked in edge-enabled IoT and highlight gaps that need more work. Their findings guide future research toward making trust systems more adaptive and aware of different contexts in IoT setups.
What this means in practice
- •For iot security engineers: Design trust frameworks that reduce risks from untrusted devices in real-time edge computing environments.
- •For smart city infrastructure teams: Develop trust-aware policies for integrating diverse connected devices and edge nodes critical to urban services reliability.
A survey. It maps existing work.
Authors
Esin Ece Aydın, Şerif Bahtiyar, Gürkan Gür
Abstract
Providing autonomous intelligence, pervasive connectivity and usability to human life and industry has led to the emergence of the Internet of Things (IoT). To support time-sensitive and resource-constrained applications, IoT systems nowadays increasingly rely on edge computing. This brings computation and decision-making closer to end devices. In edge-enabled IoT architecture, latency and communication overhead are reduced, but interactions among a larger and more diverse set of devices, edge nodes, services, and data sources are introduced as well. In such environments, security and privacy mechanisms provide the foundation for protection, while trust management can assess the reliability of interacting entities and adapting secure decisions. In this paper, we systematically review the current state of trust management in edge-enabled IoT. To this end, we propose a comprehensive taxonomy that maps physical, network, and application architectural IoT layers against the consumer, commercial, industrial, and infrastructure IoT domains. We further investigate state-of-art research based on their trust design, how trust integrated into secure IoT operations, the attacks that effect trust management process. Based on these findings, we identify key gaps in current research and outline future directions for context-aware and adaptive trust management in edge-enabled IoT.