IoT Security: AI Blockchaining Solutions and Practices

【Author】 Rajan, Hephzibah; Burns, John; Jaiswal, Chetan

【Source】2023 IEEE 13TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE, CCWC

【影响因子】

【Abstract】The IoT market is continuously expanding, and security measures parallel to the growing industrialization has drawn the research community's attention. While several works have focused on the different technologies used to protect IoT devices, this paper aims to narrow the focus to Blockchain and Artificial Intelligence (AI) solutions for security and privacy issues faced by these devices. These technologies address two major vulnerabilities with edge devices on IoT networks: centralization and weak edge nodes. Blockchain provides a distributed system that can help avoid a single-point failure and can be used to optimize battery life on low-level devices by load balancing. On the other hand, AI's power to learn and adapt is critical to automate systems and make them intelligent enough to analyze collected data. The combination of these two technologies is capable of mitigating multiple challenges IoT architectures face currently. The paper discusses the latest major architectures that integrate Blockchain and AI to enhance security within the. This paper also presents the comprehensive take on the device security and drawbacks to these mechanisms. This work also addresses the future of security in IoT and suggests different areas that need further work to better comprehend how the combination of these technologies can assist in enhancing security.

【Keywords】IoT; security; Blockchain; Artificial Intelligence; Machine Learning; privacy; decentralization; edge devices

【发表时间】2023

【收录时间】2023-07-01

【文献类型】综述

【主题类别】

区块链技术-协同技术-人工智能