Journal Press India^®

Author Details ( * ) denotes Corresponding author

Anomaly detection is an approach used in the field of Machine learning which aims to identify the abnormal patterns. This is the vast developing area with respect to various domains such as cyber security, healthcare, fraud detection, etc. This research paper provides a comprehensive study of CNN based architecture for anomaly detection used in the complex systems. This examines and explores the machine learning approaches of CNN in reference to anomaly detection. The paper also highlights the real time applications and the challenging issues of anomaly detection. The paper further focuses on the understanding of CNN architecture and the future advancements of the vital field.

Keywords

CNN-architecture; Anomaly detection; Machine learning; Computer vision; Complex system

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