Network Traffic Analysis (Synchronous E-Learning)

Training Provider: SINGAPORE INSTITUTE OF MANAGEMENT GROUP LIMITED
Course Reference: TGS-2024042982
S$1,224
Original: S$4,080
Save S$2,856

About This Course

Sophisticated attackers frequently go undetected in a victim’s network for an extended period. Attackers can blend their traffic with legitimate traffic that only skilled network analysts know how to detect. This course shows learners how to identify malicious network activity.

The course provides an overview of network protocols, network architecture, intrusion detection systems, network traffic capture and traffic analysis. Learners review the types of network monitoring and the tools commonly used to analyze captured network traffic. The course also explores the best techniques for investigating botnets and how to use honeypots in network monitoring. The course includes lectures and hands-on lab sessions to reinforce technical concepts.

What You'll Learn

• Understand the network monitoring and incident response processes, and why it’s critical in today’s network environments.
• Discuss the pros and cons of statistical, connection, full content and event monitoring and tools
• Perform event-based monitoring using Snort
• Minimize network traffic with the Snort rule structure and custom rule creation
• Review Snort alerts using the Sguil front end

Entry Requirements

Open to all unemployed or employed Singaporeans and Singapore Permanent Residents who are looking for training opportunities to transit to a new sector or job role. Applicants must be committed to completing training and passing assessments.

Applicants should:
- Possess a Minimum Diploma in ICT or equivalent certification
- Possess a positive attitude and apply the new skill they have gained back in their workplace
- Have at least 3 years of working experience in relevant roles
- Have obtained a diploma and above academic qualification
- Be able to operate a computer or laptop to perform basic tasks
- Applicants who do not meet these recommended requirements may be considered on a case-by-case basis

Course Details

Duration 24 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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