返回
PUF-Based Lightweight Authentication Framework for Large-Scale IoT Devices in Distributed Cloud
DOI:10.1109/MNET.001.2200560.png)
摘要
En 中文
Distributed cloud systems bring new experiences to various cloud platform-based intelligent applications. Compared with traditional centralized cloud services, they give a greater network performance and lower service latency. However, the complexity of network structure and the diversity of IoT devices pose higher requirements for device authentication in distributed cloud systems. For example, shorter latency in the network demands more efficient authentication schemes, and the diversity of devices requires a unified authentication method between devices and servers. In this article, we propose a cloud-edge-device collaborative device authentication framework based on Physical Unclonable Function (PUF). Given the diverse types of devices, we propose to build a PUF using the components in the device, then model the PUF with machine learning algorithms, and store the resulting PUF model corresponding to the device in the edge server node. Moreover, to meet the need for efficient and secure mutual authentication, we propose device authentication schemes for intra-domain authentication and cross-domain authentication, respectively. Finally, we discuss the key technologies involved in the proposed authentication framework and other application scenarios of PUF technology in distributed cloud systems.
Keyword:
Performance evaluation
Protocols
Machine learning algorithms
Authentication
Collaboration
Physical unclonable function
Error correction
Cloud computing
Distributed computing
期刊
IF:
6.3
论文数:
2.7K
被引数:
1.1W
机构
引用论文
PLGAKD: A PUF-Based Lightweight Group Authentication and Key Distribution ProtocolPLGAKD: 一种基于PUF的轻量级组认证和密钥分发协议
Distributed Cloud Computing: Architecture, Enabling Technologies, and Open Challenges分布式云计算: 架构、支持技术和开放挑战
Decentralized SDN Control Plane for a Distributed Cloud-Edge Infrastructure: A Survey分布式云边缘基础设施的分散式SDN控制平面: 调查
Physical Unclonable Function-Based Key Sharing via Machine Learning for IoT Security通过机器学习实现基于物理不可克隆功能的密钥共享,实现物联网安全

