Analyzing Challenges and Solutions for Detecting Deepfakes in Social Media Platforms

Analyzing Challenges and Solutions for Detecting Deepfakes in Social Media Platforms Chisom Elizabeth Alozie1* Abstract The rapid growth of Internet of Things (IoT) and edge computing devices has catalyzed the need for efficient, privacy-preserving machine learning methods tailored to resource-constrained and distributed environments. Federated Learning (FL) has The integrity and security of social media platforms […]

Authors

Publication Details

Journal
International Journal of Science Architecture Technology and Environment
Published
2024-09-13
DOI
https://doi.org/10.63680/ijsate0524118.07
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Analyzing Challenges and Solutions for Detecting Deepfakes in Social Media Platforms

Chisom Elizabeth Alozie
International Journal of Science Architecture Technology and Environment
Spam and Phishing Detection
article

Analyzing Challenges and Solutions for Detecting Deepfakes in Social Media Platforms

Chisom Elizabeth Alozie
article en

Abstract

Analyzing Challenges and Solutions for Detecting Deepfakes in Social Media Platforms Chisom Elizabeth Alozie1* Abstract The rapid growth of Internet of Things (IoT) and edge computing devices has catalyzed the need for efficient, privacy-preserving machine learning methods tailored to resource-constrained and distributed environments. Federated Learning (FL) has The integrity and security of social media platforms […]

International Journal of Science Architecture Technology and Environment
Openalex Percentile: Top 50%
Spam and Phishing Detection
DOIOpen Access PDFOpenAlex
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Analyzing Challenges and Solutions for Detecting Deepfakes in Social Media Platforms — Chisom Elizabeth Alozie · International Journal of Science Architecture Technology and Environment (2024) | TGRS Research Map | TGRS