Digital Forensics- Network Investigation Course Overview

Digital Forensics- Network Investigation Course Overview

The Digital Forensics - Network Investigation course is an advanced program designed for learners seeking expertise in investigating and analyzing network-related incidents within a digital forensics context. This comprehensive course equips participants with the knowledge and practical skills necessary to handle complex network forensics cases.

Through twelve modules, students will explore a variety of topics such as digital evidence concepts, network forensics methodologies, evidence acquisition, packet analysis, and the intricacies of wireless network forensics. They'll delve into the technical fundamentals, including IP suite principles and the sources of network-based evidence. Advanced lessons cover statistical flow analysis, intrusion detection systems, and event log correlation.

Learners will also gain insights into network infrastructure components like switches, routers, and firewalls, as well as specialized subjects like web proxies, network tunneling, and malware forensics. With a curriculum that addresses current challenges and employs up-to-date investigation strategies, this course is pivotal for professionals aspiring to excel in the field of digital forensics.

By the end of the course, participants will have a robust understanding of how to effectively gather, analyze, and report on network data, making them valuable assets to any cybersecurity or digital forensics team.

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  • Live Training (Duration : 40 Hours)
  • Per Participant
  • Classroom Training price is on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

The Digital Forensics - Network Investigation course is designed for individuals looking to expand their knowledge and expertise in network forensics. To ensure that participants are able to keep pace with the course material and fully benefit from the training, the following minimum prerequisites are recommended:


  • Basic understanding of computing and network concepts, including familiarity with how data is transmitted across networks.
  • Knowledge of the fundamentals of Information Security principles such as confidentiality, integrity, and availability.
  • Experience with or exposure to network infrastructure devices such as routers, switches, and firewalls.
  • Familiarity with the Windows and Linux operating systems, as these are commonly used platforms in network forensics.
  • Ability to understand and analyze basic network traffic and read outputs from common networking tools (e.g., Wireshark, tcpdump).
  • Some experience with command-line interfaces and scripting may be beneficial for understanding automated data analysis techniques.
  • An analytical mindset and attention to detail, as digital forensics involves meticulous examination of evidence and data.

While these prerequisites are aimed at ensuring a successful learning experience, individuals with a keen interest in the field and a willingness to learn are encouraged to participate. Prior experience in IT or cybersecurity roles can be advantageous but is not a strict requirement.


Target Audience for Digital Forensics- Network Investigation

The Digital Forensics - Network Investigation course equips IT professionals with advanced skills in cybercrime analysis and Network Security.


  • IT Security Analysts
  • Digital Forensics Investigators
  • Network Administrators
  • Incident Response Team Members
  • Cybersecurity Consultants
  • Law Enforcement Personnel
  • Information Security Officers
  • Compliance and Risk Management Officers
  • Network Defense Technicians
  • System Integrators
  • Legal Professionals specializing in cyber law
  • Cyber Insurance Claims Adjusters


Learning Objectives - What you will Learn in this Digital Forensics- Network Investigation?

  1. Introduction to the Digital Forensics - Network Investigation Course Learning Outcomes: This course provides a comprehensive understanding of network investigation strategies, technical fundamentals, and tools necessary for digital forensics professionals to conduct effective network forensic analysis.

  2. Learning Objectives and Outcomes:

  • Comprehend the principles of digital evidence and the unique challenges it presents in forensic investigations.
  • Apply network forensics investigation methodologies to identify, collect, and preserve network-based evidence.
  • Understand the principles of internetworking and the Internet Protocol (IP) suite that are critical for network traffic analysis.
  • Utilize network traffic acquisition software to perform active acquisition of network data.
  • Conduct detailed protocol analysis, packet analysis, and flow analysis to scrutinize network traffic for forensic purposes.
  • Analyze wireless network traffic to identify potential security breaches and locate rogue wireless devices.
  • Operate Network Intrusion Detection Systems (NIDS) and Network Intrusion Prevention Systems (NIPS) to detect and log malicious network activity.
  • Aggregate, correlate, and analyze event logs to extract useful forensic information from network devices.
  • Investigate switches, routers, and firewalls to uncover evidence and understand the role of Content-Addressable Memory (CAM) tables in network forensics.
  • Examine web proxy functionality, analyze web proxy logs, and decrypt encrypted web traffic to extract forensic evidence.
  • Identify and analyze network tunneling techniques, including DNS and ICMP tunnels, used to bypass security measures.
  • Analyze the network behavior of malware, including botnets, and investigate methods of encryption and obfuscation used by malicious actors.

Target Audience for Digital Forensics- Network Investigation

The Digital Forensics - Network Investigation course equips IT professionals with advanced skills in cybercrime analysis and Network Security.


  • IT Security Analysts
  • Digital Forensics Investigators
  • Network Administrators
  • Incident Response Team Members
  • Cybersecurity Consultants
  • Law Enforcement Personnel
  • Information Security Officers
  • Compliance and Risk Management Officers
  • Network Defense Technicians
  • System Integrators
  • Legal Professionals specializing in cyber law
  • Cyber Insurance Claims Adjusters


Learning Objectives - What you will Learn in this Digital Forensics- Network Investigation?

  1. Introduction to the Digital Forensics - Network Investigation Course Learning Outcomes: This course provides a comprehensive understanding of network investigation strategies, technical fundamentals, and tools necessary for digital forensics professionals to conduct effective network forensic analysis.

  2. Learning Objectives and Outcomes:

  • Comprehend the principles of digital evidence and the unique challenges it presents in forensic investigations.
  • Apply network forensics investigation methodologies to identify, collect, and preserve network-based evidence.
  • Understand the principles of internetworking and the Internet Protocol (IP) suite that are critical for network traffic analysis.
  • Utilize network traffic acquisition software to perform active acquisition of network data.
  • Conduct detailed protocol analysis, packet analysis, and flow analysis to scrutinize network traffic for forensic purposes.
  • Analyze wireless network traffic to identify potential security breaches and locate rogue wireless devices.
  • Operate Network Intrusion Detection Systems (NIDS) and Network Intrusion Prevention Systems (NIPS) to detect and log malicious network activity.
  • Aggregate, correlate, and analyze event logs to extract useful forensic information from network devices.
  • Investigate switches, routers, and firewalls to uncover evidence and understand the role of Content-Addressable Memory (CAM) tables in network forensics.
  • Examine web proxy functionality, analyze web proxy logs, and decrypt encrypted web traffic to extract forensic evidence.
  • Identify and analyze network tunneling techniques, including DNS and ICMP tunnels, used to bypass security measures.
  • Analyze the network behavior of malware, including botnets, and investigate methods of encryption and obfuscation used by malicious actors.