Similar to the prior three modules, now your goal is to develop a new hands-on lab materials that explore machine learning applications in cyber security.
Develop a new hands-on lab materials that explore machine learning
Similar to the prior three modules, now your goal is to develop a new hands-on lab materials that explore machine learning applications in cyber security. Choose one of the topics by discussing with the instructor, identify dataset availability. Further, identify at least 3 machine algorithms you plan to apply on datasets. Additionally, identify performance metrics.
The report should include a prefab section highlighting the cyber security problem (E.g., CAPTCHA bypassing), and planned machine learning approaches (e.g., decision tree, KNN), then hands-on lab section that will show step-by-step using jupyter notebook platform to train and test datasets, and outcome of the training.
Firstly, M4. SVM for Unauthorized access with CAPTCHA bypass.
Secondly, M5. Decision Tree for Malicious SQL injection prevention.
Thirdly, M6. Deep learning for malware classification and protection.
Fourthly, M7. Deep learning for anomaly-based intrusion detection.
Further, M8. K-Means clustering for network traffic monitoring.
Additionally, M9. Decision Tree for malicious web application detections.
Lastly, M10. KNN Classification for user behaviour anomaly detection.
More details;
Cybersecurity is the practice of protecting systems, networks, and programs from digital attacks. These cyberattacks are usually aimed at accessing, changing, or destroying sensitive information; extorting money from users; or interrupting normal business processes.
Implementing effective cybersecurity measures is particularly challenging today because there are more devices than people, and attackers are becoming more innovative.
What is cybersecurity all about?
A successful cybersecurity approach has multiple layers of protection spread across the computers, networks, programs, or data that one intends to keep safe. In an organization, the people, processes, and technology must all complement one another to create an effective defense from cyber attacks. A unified threat management system can automate integrations across select Cisco Security products and accelerate key security operations functions: detection, investigation, and remediation.
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