Forgery detection based on deep learning for smart systems: Recent advances and collection of datasets

In this digital era, most information is in the digital format. This leads to a new type of cyber-attack known as digital forgery. Most of the forgery techniques attack the integrity of the digital asset. Due to the heterogeneity of digital content, it is difficult to detect forgery attacks using traditional approaches. In this context, we present forgery detection techniques related to smart systems. This chapter focuses on deep learning-based forgery detection models and will help young researchers to understand the digital forgery detection approach.