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Trend of Paradigm for integrating Blockchain, Artificial Intelligence, Quantum Computing, and Internet of Things

  • Received : 2023.03.02
  • Accepted : 2023.03.28
  • Published : 2023.03.31

Abstract

The combination of blockchain (BC), artificial Intelligence (AI), quantum computing (QC), and the Internet of Things (IoT) can potentially transform various industries and domains, including healthcare, logistics, and finance. In this paper, we look at the trends and developments in integrating these emerging technologies and the potential benefits and challenges that come with them. We present a conceptual framework for integrating BC, AI, QC, and IoT and discuss the framework's key characteristics and challenges. We also look at the most recent cutting-edge research and developments in integrating these technologies, as well as the key challenges and opportunities that come with them. Our analysis highlights the potential benefits of integrating the technologies and looks to increased security, privacy, and efficiency to provide insights into the future of these technologies.

본 논문에서는 블록체인(Blockchain, BC), 인공지능 (Arificial Interlligence, AI), 양자 컴퓨팅 (Quantum Computing, QC) 및 사물 인터넷 (Internet of Things, IoT)의 결합이 의료, 물류 및 금융을 비롯한 다양한 산업 및 분야를 변화시킬 수 있는 가능성을 다룹니다. 이에 대해 기술들이 통합되는 경향과 발전, 그리고 이러한 기술들과 함께하는 잠재적 이점과 도전 과제를 분석합니다. 본 논문에서는 BC, AI, QC 및 IoT를 통합하기 위한 개념적 프레임워크를 제시하고, 제시한 프레임워크의 주요 특징과 도전 과제에 대해서 논의합니다. 또한 이러한 기술들을 통합하는 최신 연구와 개발, 그리고 이러한 기술들과 함께하는 주요 도전 과제와 기회를 살펴봅니다. 본 논문의 분석은 기술들을 통합하는 잠재적 이점을 강조하며, 보안성, 개인 정보 보호 및 효율성의 증대에 초점을 맞추어 이러한 기술들의 미래에 대한 인사이트를 제공합니다.

Keywords

Acknowledgement

This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2023-2020-0-01797) supervised by the IITP(Institute for Information & Communications Technology Planning & Evaluation). This work was supported by Institute for Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.2019-0-00033, Study on Quantum Security Evaluation of Cryptography based on Computational Quantum Complexity, 50%)

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