Deepfake Detection System by Integrating Deep Learning and Blockchain Technology

Koli, Raj Yatin (2023) Deepfake Detection System by Integrating Deep Learning and Blockchain Technology. Masters thesis, Dublin, National College of Ireland.

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Abstract

Deepfake technology poses challenges to the authenticity of digital visual information. This project combines deep learning and blockchain to develop a trustworthy deepfake detection solution. The model uses CNNs and RNNs for accurate deepfake content identification, and blockchain ensures an immutable record of video authenticity. A diverse dataset is employed for training and testing, and comprehensive metrics assess the system's performance. The research explores the implications of blockchain integration on efficiency, scalability, and security. Results show notable accuracy and reliability in identifying deepfakes, mitigating misinformation risks. Blockchain facilitates forensic analysis and boosts public trust in visual information veracity. Merging deep learning and blockchain fortifies deepfake detection, safeguarding visual content integrity. The integration offers a promising approach to combat evolving deepfake manipulation in the digitalized world. Policymakers, researchers, and developers can benefit from these insights to responsibly use AI and blockchain in digital media authentication.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Pantridge, Michael UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software > Computer Security > Database security > Blockchains (Databases) T Technology > T Technology (General) > Information Technology > Computer software > Computer Security > Database security > Blockchains (Databases) Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources > Databases > Distributed databases > Blockchains (Databases) Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Tamara Malone
Date Deposited:	22 Oct 2024 15:23
Last Modified:	22 Oct 2024 15:23
URI:	https://norma.ncirl.ie/id/eprint/7130

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