An efficient cybersecurity framework for facial video forensics detection based on multimodal deep learning

Volume: 34, Issue: 2, Pages: 1251 - 1268
Published: Sep 5, 2021
Abstract
In cloud services and Internet-of-Things (IoT) applications, the cybersecurity in video transmission technologies has drawn much attention in recent researches due to the rapid growth of cyber-risks on both individuals and institutions. Unfortunately, the spoofing attack, a kind of cyber-risk, has increased the number of cyber-criminals in data transfer applications without being detected, especially in smart cities. Several applications based...
Paper Details
Title
An efficient cybersecurity framework for facial video forensics detection based on multimodal deep learning
Published Date
Sep 5, 2021
Volume
34
Issue
2
Pages
1251 - 1268
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