Lab Details
Date: 15th August 2023. 0900H
Venue: Room 304, Level 3, KLCC Convention Centre
Lab Technical Difficulty Level: Beginner
Price
Early Bird: USD 999.00 (Use Code: SS2023CLEB. Ends 30th June, 2359H)
Normal: USD 1,199.00
Course Abstract
This lab is to showcase a JupyterLab case study for network activity analysis using machine learning toolset and Zeek’s log.
Course Outline
N/A
What to expect?
Participants will learn how to use machine learning to analyse network traffic’s log.
What to bring?
- Computer hardware’s minimum requirement
- A compatible 64-bit x86/AMD64 CPU launched in 2011 or later
- 1.3GHz or faster core speed
- 2GB RAM minimum/4GB RAM or more recommended
- General Host OS Requirements
- VMWare Workstation Pro 17
- Not eligible for Apple M series chipset
Trainer Profile
Abd Halim Bin Mahmood
Graduated in bachelor of Information and Communication Technology from International Islamic University Malaysia (IIUM). Used to work as a performance tester for one of the banks in Malaysia and is now pursuing an interest in cybersecurity as a network security engineer for Eclogic io.