JupyterLab for Network Analysis

Lab Details

Date: 15th August 2023. 0900H
Venue: Room 304, Level 3, KLCC Convention Centre

Lab Technical Difficulty Level: Beginner


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


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.

Scroll to top