ARTICLE INFO

1. Introduction

2. Related Works

2.1. Intrusion Detection System

2.2. Malware Detection

2.3. Anomaly Detection

2.4. Miscellaneous Cyber Threats

2.5. AI-based Cyber Attack in Industry 4.0

3. Fundamentals of Generative Adversarial Networks (GANs)

3.1. GANs Definition

3.2. GAN Variation

4. Challenges

4.1. Cybersecurity Challenges

4.2. Implementation Challenges for Cybersecurity

5. Use Cases and Applications

5.1. Botnet Detection

5.2. Mobile Trespass

5.3. Network Trespass

5.4. Malware Detection

5.5. Attacks on Android

5.6. Trespass on Internet of Things

5.7. Intrusion Detection System

5.8. Face Recognition

5.9. False Data Injection and Denial-of-Services

5.10. Cyber Behavior Characterization

6. Security and Ethical Consideration

7. Comparative Analysis

7.1. Methodology

7.2. Results and Findings

7.3. Datasets

7.4. Evaluation Metrics

7.5. Limitation

8. Future Directions

9. Conclusion