DETECTION OF FAKE USER PROFILES ON SOCIAL MEDIA

1. Datasets

1.1. Social Media Datasets

1.2. Facebook

1.3. Twitter

1.4. Online Social Network (OSN)

2. Performance

2.1. FPD-COADL (96.27%)

2.2. DNN (99.8%)

2.3. XGBoost (99.6%)

2.4. SVM-NN (98%)

3. Limitations

3.1. Small Datasets

3.2. Platform Specificity

3.3. Ethical and privacy concerns during data collection

4. Techniques

4.1. Deep Learning Techniques

4.1.1. FPD-COADL

4.1.2. DNN Model

4.1.3. LSTM

4.2. Machine Learning Techniques

4.2.1. Neural Networks

4.2.2. XGBoost

4.2.3. Random Forest

4.3. Pattern Recognition

4.3.1. Pattern-Matching Algorithm

4.4. Hybrid Model

4.4.1. SVM-NN

5. Recommendations

5.1. Explore advanced deep learning techniques.

5.2. Expand datasets across platforms.

5.3. Apply to other platforms, add complex features