Guest Editors
Prof. Thi-Thu-Huong Le, Pusan National University, South Korea
Dr. Yustus Eko Oktian, Universitas Ciputra Surabaya, Indonesia
Prof. Howon Kim, Pusan National Univeristy, South Korea
Summary
Integrating Artificial Intelligence (AI) with Industry 4.0, AI security, blockchain technology, and large language models (LLMs) represents a frontier of innovation with profound implications for the future of technology and industry. This special issue explores the convergence of these domains, aiming to highlight advancements, challenges, and the transformative potential of these technologies. Industry 4.0, characterized by smart manufacturing and cyber-physical systems, increasingly relies on AI to drive automation, efficiency, and predictive capabilities. Concurrently, the rise of AI security addresses the critical need to protect AI systems from malicious threats and ensure the integrity and reliability of AI-driven processes. With its decentralized and immutable ledger, blockchain technology presents unique opportunities for enhancing AI security, data integrity, and trust in AI applications. Large language models further extend AI's capabilities by enabling advanced natural language processing, decision-making, and knowledge management. This special issue invites original research, review articles, and case studies investigating these intersecting areas, offering insights into how AI, Industry 4.0, AI security, blockchain, and LLMs can collectively shape a resilient and innovative technological landscape.
Keywords
Artificial Intelligence (AI)
AI Security
Blockchain Security Technology
IoT Security
Smart Contracts
Security Vulnerabilities
Vulnerability Assessment Analysis
Data Integrity
Cybersecurity
Secure AI Systems
Trust in AI Applications
Intrusion Detection System (IDS)
Large Language Models (LLMs)
AI Applications with LLMs
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