Learn how to use data science to conduct a network forensics investigation. Jungwoo explains how you can leverage various data science tools to enhance the effectiveness of your network forensics investigations.
- [Instructor] Network forensics in its conventional form…is not scalable enough to deal with…the explosive growth of data.…Think about combing though gigabytes or terabytes…of network data using a popular tool like Wireshark.…Doing this is simply infeasible and too time-consuming.…The traditional tools may also crash and burn…very quickly in such a scenario.…Because of these limitations,…more scalable network forensic solutions…are emerging rapidly.…For example, companies like Endace offer network recorders…capable of capturing 100 percent of network traffic…with their 192 terabytes of local storage.…
RSA Netwitness uses big data analytics…to help investigate suspicious network activities.…What's special about this product…is its ability to leverage machine learning…to predict the level of risks associated…with a specific network security drag,…which is useful for prioritization.…Blue Coat is another leading company…providing abilities to record, replay and analyze…network traffic as part of incident response…
- 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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