A Survey on Anomaly Detection in IoT and Cloud Computing Security
P Gagan, Josy Elsa Varghese, Seema G. Aarella · 2024
Cybersecurity in the Internet of Things (IoT) is crucial for ensuring the safety of various applications. The advent of Artificial Intelligence (AI) has enabled innovative security solutions across multiple layers of the IoT ecosystem. As IoT rapidly integrates with edge computing to reduce latency compared to cloud computing, the cloud continues to offer high-speed computation, extensive data analytics, and enhanced security. This survey examines anomaly detection in Cloud-IoT environments, focusing on maintaining safety and functionality. We analyze current security threats, such as data breaches and unauthorized access, while also discussing the benefits and challenges of Cloud IoT, including scalability and privacy concerns. This study aims to explore the effectiveness of cloud-based IoT deployments by reviewing cutting-edge methodologies.