Overview

Reports of prominent organizations being hacked and suffering irreparable reputational damage have become all too common. How can you prevent your company from becoming the next victim of a major cyber attack?

Preserving the security of your site in today's threat environment is more challenging than ever before. The security landscape is continually changing from what was once only perimeter protection to protecting exposed and mobile systems that are almost always connected and sometimes vulnerable. Security-savvy employees who can help detect and prevent intrusions are therefore in great demand. Our goal in SEC503: Intrusion Detection In-Depth is to acquaint you with the core knowledge, tools, and techniques to defend your networks with insight and awareness. The training will prepare you to put your new skills and knowledge to work immediately upon returning to a live environment.

Who should Attend?

  • Intrusion detection (all levels), system, and security analysts
    Analysts will be introduced to or become more proficient in the use of traffic analysis tools for signs of intrusions.

  • Network engineers /administrators
    Network engineers/administrators will understand the importance of optimal placement of IDS sensors and how the use of network forensics such as log data and network flow data can enhance the capability to identify intrusions.

  • Hands-on security managers
    Hands-on security managers will understand the complexities of intrusion detection and assist analysts by providing them with the resources necessary for success.

Pre-requisites

  • Students must have at least a working knowledge of TCP/IP and hexadecimal. To test your knowledge, see our TCP/IP and Hex Quizzes .
  • Familiarity and comfort with the use of Linux commands such as cd, sudo, pwd, ls, more, less
This course is endorsed under Critical Infocomm Technology Resource Programme Plus (CITREP+) Programme.
To find out more about CITREP+ Funding, please refer to Programme Support under CITREP+ page


Information is accurate as of 28 June 2018

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