This course blends the domains of cyber security and Artificial Intelligence (AI). This course presents the principles of artificial intelligence, concentrating on cybersecurity-related applications. Additionally, this course also discusses various neural network architectures such as Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Generative Adversarial Networks (GAN), besides advanced machine learning techniques such as transfer learning algorithms. It covers How to detect patterns model behavior and identify anomalous behavior. The course examines How to secure websites by injecting AI techniques.
Undergraduate 132 CRs
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| content serial | Description |
|---|
| 1 | Course Aim, Course outline, and the principles of artificial intelligence, concentrating on cybersecurity-related applications |
| 2 | Different cryptographic techniques and some major attacks |
| 3 | Neural network architectures such as ANN, CNN, and GAN |
| 4 | Detecting Spams with AI techniques |
| 5 | Detecting Phishing with AI techniques |
| 6 | Detecting Phishing with AI techniques. 6 Detecting Phishing with AI techniques (cont.) |
| 7 | 7th week Assessment |
| 8 | Malware Threats detection |
| 9 | Network Anomalies detection |
| 10 | Machine Learning for fraud detection |
| 11 | 12th week Assessment |
| 12 | Evaluating AI algorithms |
| 13 | GANs: Attacks and Defences |
| 14 | GANs: Attacks and Defences (cont.) |
| 15 | Projects Presentations |
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