Editorial: Artificial Intelligence-based Security Applications and Services for Smart Cities
Jong Hyuk Park · Mathematical Biosciences & Engineering · 2024
The rapid advancement of Smart Cities is crucial for the economic growth and sustainable development of urban areas.These cities rely on a vast network of sensors that collect enormous amounts of data, posing significant challenges in secure data collection, management, and storage.Artificial Intelligence (AI) has emerged as a powerful computational model, demonstrating notable success in processing large datasets, particularly in unsupervised settings.Deep Learning models provide efficient learning representations, enabling systems to learn features from data automatically.However, the rise in cyberattacks presents ongoing threats to data privacy and integrity in Smart Cities.Unauthorized access and data breaches are growing concerns, exacerbated by various network vulnerabilities and risks.This highlights the necessity for further research to address security issues, ensuring that Smart City operations remain secure, resilient, and dependable.The main aim of this Special Issue is to gather high-quality research papers and reviews focusing on AI-based solutions, incorporating other enabling technologies such as Blockchain and Edge Intelligence.These technologies address the challenges of data security, privacy, and network authentication in IoT-based Smart Cities.After a rigorous review process, 14 papers were accepted.These papers cover a broad scope of topics and offer valuable contributions to the field of AI-based security applications in Smart Cities.They provide innovative solutions for secure data management, advanced algorithms for threat detection and prevention, and techniques for ensuring data privacy and integrity.All accepted papers are categorized into six different dimensions: 1) Prediction and forecasting models, 2) Security and encryption techniques, 3) Edge computing and IoT, 4) Automotive and