论文标题
分布式物联网系统的可扩展且安全的体系结构
Scalable and Secure Architecture for Distributed IoT Systems
论文作者
论文摘要
Things的Internet（IoT）永久地彻底改变了我们的日常生活，并迅速将物理对象转化为无处不在的互联生态系统。由于它们的大量部署和中等的安全水平，这些设备面临着许多安全，管理和控制挑战。他们经典的集中式体系结构仍在掩盖脆弱性和异常，这些漏洞和异常是可用于间谍，窃听和控制网络的漏洞。在本文中，我们建议使用人工智能（AI）和区块链技术，通过其他安全功能来改善IoT体系结构。我们提出了一种基于权限的区块链技术的新型体系结构，以构建可扩展和分散的端到端安全物联网系统。此外，我们使用机器学习技术在网关级别上使用AI组件来增强物联网系统安全性，以检测和分类可疑的活动，恶意软件和网络攻击。模拟和实际实施表明，该拟议的体系结构可针对网络攻击提供高性能。
Internet-of-things (IoT) is perpetually revolutionizing our daily life and rapidly transforming physical objects into an ubiquitous connected ecosystem. Due to their massive deployment and moderate security levels, those devices face a lot of security, management, and control challenges. Their classical centralized architecture is still cloaking vulnerabilities and anomalies that can be exploited by hackers for spying, eavesdropping, and taking control of the network. In this paper, we propose to improve the IoT architecture with additional security features using Artificial Intelligence (AI) and blockchain technology. We propose a novel architecture based on permissioned blockchain technology in order to build a scalable and decentralized end-to-end secure IoT system. Furthermore, we enhance the IoT system security with an AI-component at the gateway level to detect and classify suspected activities, malware, and cyber-attacks using machine learning techniques. Simulations and practical implementation show that the proposed architecture delivers high performance against cyber-attacks.
