SecureVision: Advanced Cybersecurity Deepfake Detection with Big Data Analytics

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...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 24; no. 19; p. 6300
Main Authors Kumar, Naresh, Kundu, Ankit
Format Journal Article
LanguageEnglish
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
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Summary: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 learning algorithms to detect altered information in both audio and visual domains. One of SecureVision’s primary innovations is the use of multi-modal analysis, which improves detection capabilities by concurrently analyzing many media forms and strengthening resistance against advanced deepfake techniques. The system’s efficacy is further enhanced by its capacity to manage large datasets and integrate self-supervised learning, which guarantees its flexibility in the ever-changing field of digital deception. In the end, this study helps to protect digital integrity by providing a proactive, scalable, and efficient defense against the ubiquitous threat of deepfakes, thereby establishing a new benchmark for privacy and security measures in the digital era.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s24196300