Evaluating Perceptual Hashing Algorithms in Detecting Image Manipulation Over Social Media Platforms

Author:

Alkhowaiter Mohammed1,Almubarak Khalid2,Zou Cliff3

Affiliation:

1. University of Central Florida,Electrical and Computer Engineering,Orlando,United States

2. Prince Sattam University,College of Computer Engineering and Science,Al-Kharj,Saudi Arabia

3. University of Central Florida,Department of Computer Science,Orlando,United States

Publisher

IEEE

Reference28 articles.

1. Perceptual hashing for image authentication: A survey

2. casia dataset;zheng,2021

3. usc-sipi image database,1977

4. IMD2020: A Large-Scale Annotated Dataset Tailored for Detecting Manipulated Images

5. a simple framework for contrastive learning of visual representations;chen;International Conference on Machine Learning,2020

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1. ChaSAM: An Architecture Based on Perceptual Hashing for Image Detection in Computer Forensics;IEEE Access;2024

2. Analysis of Perceptive Hashing Algorithm in Image Manipulation Detection;2023 International Conference on Computational Intelligence, Networks and Security (ICCINS);2023-12-22

3. Image-based Ransomware Detection for Social Media Post Using Structural Similarity Index;2023 IEEE 20th India Council International Conference (INDICON);2023-12-14

4. Near-duplicate image removal method for aerial transmission line inspection;2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA);2023-08-18

5. Adversarial-Aware Deep Learning System Based on a Secondary Classical Machine Learning Verification Approach;Sensors;2023-07-11

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