Learn what machine learning is. Jungwoo goes over basic machine learning concepts and steps in the context of network security.
- [Instructor] Machine learning is a technique…that allows a computer to make a decision…on behalf of human operators.…When given a data set, it uses statistics…and pattern matching to arrive at a conclusion.…In the context of detecting a network anomaly,…such as an intrusion attempt,…a machine learning algorithm can zip through…numerous network events logged by various sources…and identify an unusual activity…that can lead to a security breach.…To implement the machine learning solution,…it is necessary to have a relevant data set,…machine learning algorithm,…and a computing platform.…
For the purpose of intrusion detection,…it is sufficient to have network event logs…capturing the details of packets…that are either coming into or going out of…the network of interest.…Machine learning algorithm uses multiple features…of the data set and builds a learning model…that enables eventual decision making.…In our example of intrusion detection,…the features include when each packet was captured,…the source and destination IP address,…
- Identify the goals of network security.
- Distinguish types of firewalls.
- Explain intrusion detection and prevention systems.
- Describe packet capture.
- Collect packet sniffer, IDS, and IPS data.
- Explain how to use machine learning to process network data.
- Use data science to conduct a network forensics investigation.
- Identify data visualization targets and tools.
Skill Level Intermediate
1. Network Security Review
2. Network Data Sources
3. Data Collection
4. Data Analytics
Network forensics2m 25s
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