SecureVision: Advanced Cybersecurity Deepfake Detection with Big Data Analytics

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 19; p. 6300
• Main Authors: Kumar, Naresh, Kundu, Ankit
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 29.09.2024; MDPI
• Subjects: Accuracy; audio analysis; Big Data; Comparative analysis; Cybercrime; Cybersecurity; Cyberterrorism; Data analysis; Data mining; Data security; Datasets; Deep learning; Deepfake; deepfake detection; Detectors; digital deception; Evaluation; Human performance; Innovations; Internet; Literature reviews; Machine learning; multimedia analysis; Neural networks; Privacy; Safety and security measures; Security management; Speech; Vegetation mapping; Voice recognition; deep learning; digital deception; audio analysis; big data analytics; deepfake detection; multi-modal analysis; manipulated content; multimedia analysis; cybersecurity; media integrity

SecureVision is an advanced and trustworthy deepfake detection system created to tackle the growing threat of ‘deepfake’ movies that tamper with media, undermine public trust, and jeopardize cybersecurity. We present a novel approach that combines big data analytics with state-of-the-art deep learni...