Detection of Deepfake in Social Engineering Attacks Targeting Construction Work Competency Certificates (SKK-Konstruksi) via the Ministry of Public Works Licensing Portal
With the rise of social engineering attacks targeting the SKK-Konstruksi certification process through the Ministry of Public Works’ online licensing portal, the detection of deepfake content has become increasingly critical. This research proposes a deep learning-based framework to counter such threats by combining face detection YOLO v8 and classification techniques CNN. To enhance transparency and trust in the model’s decisions, Explainable AI (XAI) is integrated using Grad-CAM and LIME, providing visual insights into which regions influenced the classification.