Victims of child sexual abuse suffer from physical, psychological, and emotional trauma. The
detection and deletion of illicit online child sexual abuse material (CSAM) helps in reducing …

Over the past two decades, the nature of child pornography in terms of generation,
distribution and possession of images drastically changed, evolving from basically covert …

The health impacts of repeated exposure to distressing concepts such as child exploitation
materials (CEM, aka 'child pornography') have become a major concern to law enforcement …

Abstract The field of Digital Image Forensics (DIF) faces a critical issue in accurately
identifying children in digital images, notably in cases involving the proliferation of child …

Nowadays, the volume of the multimedia heterogeneous evidence presented for digital
forensic analysis has significantly increased, thus requiring the application of big data …

Since the past few years, the complexity and heterogeneity of digital crimes has increased
exponentially, which has made the digital evidence & digital forensics paramount for both …

Differentiating child and adult images is a crucial requirement for many applications. This
paper proposes an approach using a Convolutional Neural Network (CNN) model to …