Identifying Deepfake Cyber Attacks: Challenges and Countermeasures

Deepfake technology has emerged as a major cybersecurity threat, enabling sophisticated cyber attacks that exploit artificial intelligence (AI) and machine learning (ML). This paper explores the methodologies used to detect deepfake-based cyber threats, including image and video forensics, AIdriven detection systems, and biometric verification. Additionally, countermeasures such as blockchain authentication and adversarial training are examined. A comprehensive review of deepfake detection datasets is also provided, discussing their efficacy and relevance. This study aims to enhance awareness and develop robust mitigation strategies against deepfake cyber threats