Network Monitoring and Packet Analysis with Wireshark

Inquire now

The Network Monitoring and Packet Analysis with Wireshark Training Course is a comprehensive hands-on program designed to equip IT professionals with the knowledge and practical skills required to capture, analyze, troubleshoot, and monitor network traffic using Wireshark, the world’s leading open-source packet analyzer.

Participants will gain a solid understanding of network communication protocols, packet structures, TCP/IP analysis, troubleshooting methodologies, performance monitoring, and security investigation techniques. Through extensive laboratory exercises and real-world scenarios, attendees will learn how to identify network issues, analyze application traffic, diagnose connectivity problems, detect anomalies, and support incident investigations using packet-level analysis.

The course emphasizes practical packet capture techniques, protocol decoding, filtering, traffic interpretation, and best practices for enterprise network monitoring and troubleshooting.

Duration 3 Days – 21 hrs.

 

Objectives 

  • Understand packet analysis fundamentals and network communication principles.
  • Capture network traffic using Wireshark.
  • Navigate the Wireshark interface efficiently.
  • Apply display and capture filters effectively.
  • Analyze Ethernet, ARP, IPv4, IPv6, TCP, UDP, and ICMP traffic.
  • Troubleshoot common Layer 2–Layer 7 network problems.
  • Identify network latency, retransmissions, and packet loss.
  • Analyze DNS, DHCP, HTTP, HTTPS, FTP, SMTP, and other application protocols.
  • Detect suspicious or malicious network activities through packet inspection.
  • Monitor network performance using packet statistics and expert analysis.
  • Generate reports and document packet analysis findings.
  • Apply packet analysis techniques for network optimization and incident response.

 

Target Audience 

  • Network Engineers
  • Network Administrators
  • Systems Administrators
  • Infrastructure Engineers
  • Technical Support Engineers
  • NOC Engineers
  • SOC Analysts
  • Cybersecurity Analysts
  • IT Support Professionals
  • Help Desk Engineers
  • DevOps Engineers
  • Cloud Infrastructure Engineers
  • IT Auditors
  • Technical Consultants

 

Prerequisites 

  • Basic knowledge of computer networking
  • Familiarity with TCP/IP concepts
  • Understanding of IP addressing and subnetting
  • Basic Windows or Linux administration skills
  • No prior Wireshark experience required

 

Course Outline 

Day 1 – Wireshark Fundamentals and Packet Capture 

Module 1: Introduction to Network Monitoring 

  • Importance of packet analysis
  • Network troubleshooting methodology
  • OSI Model review
  • TCP/IP Model review
  • Network communication process

 Module 2: Introduction to Wireshark 

  • Wireshark architecture
  • Installation and setup
  • User interface walkthrough
  • Packet capture workflow
  • Capture options
  • Interface selection

 Module 3: Capturing Network Traffic 

  • Live packet capture
  • Capture filters
  • Saving capture files
  • Importing packet captures
  • Capture best practices

 Module 4: Understanding Packet Structure 

  • Ethernet frames
  • MAC addressing
  • Packet headers
  • Encapsulation
  • Decapsulation
  • Packet timestamps

Hands-on Labs

  • Install Wireshark
  • Capture LAN traffic
  • Analyze packet headers
  • Save and reopen packet captures

 

Day 2 – Protocol Analysis and Network Troubleshooting 

Module 5: IP Protocol Analysis 

  • IPv4 analysis
  • IPv6 analysis
  • ICMP packets
  • ARP protocol
  • Routing behavior

 Module 6: TCP and UDP Analysis 

  • Three-way handshake
  • TCP flags
  • TCP sessions
  • Retransmissions
  • Flow control
  • Window scaling
  • UDP communication

 Module 7: Application Layer Protocol Analysis 

  • DNS
  • DHCP
  • HTTP
  • HTTPS
  • FTP
  • SMTP
  • POP3
  • IMAP
  • SNMP
  • SSH

 Module 8: Advanced Filtering 

  • Display filters
  • Coloring rules
  • Search functions
  • Conversation filters
  • Endpoint filtering
  • Protocol filtering

Hands-on Labs

  • Analyze DNS lookups
  • Capture HTTP sessions
  • Inspect TCP connections
  • Troubleshoot failed communications
  • Create advanced display filters

 

Day 3 – Advanced Packet Analysis and Network Security 

Module 9: Performance Analysis 

  • Packet loss detection
  • Latency analysis
  • Throughput analysis
  • Round-trip time
  • Bandwidth utilization
  • Expert Information window

 Module 10: Network Security Analysis 

  • Detecting suspicious traffic
  • Malware communication indicators
  • Port scanning detection
  • ARP spoofing identification
  • DNS anomalies
  • Unauthorized connections
  • Basic intrusion investigation

 Module 11: Wireshark Statistics and Reporting 

  • Protocol hierarchy
  • Endpoints
  • Conversations
  • IO Graphs
  • Flow Graph
  • Service Response Time
  • Exporting objects
  • Report generation

 Module 12: Best Practices and Enterprise Use Cases 

  • Enterprise troubleshooting workflow
  • Incident response support
  • Network performance monitoring
  • Security operations integration
  • Documentation standards
  • Packet analysis checklist

 Comprehensive Hands-on Labs 

  • Diagnose network performance issues
  • Investigate slow application response
  • Analyze DNS failures
  • Detect abnormal network traffic
  • Perform packet-based incident investigation
  • Generate packet analysis reports
  • End-to-end troubleshooting case study

 

Inquire now

Best selling courses

Duration: 5 days – 35 hrs   Overview The “SOC Network and Threat Detection and Analysis” training course is designed to equip Security Operations Center (SOC) analysts and IT security professionals with the skills and knowledge required to detect, analyze, and respond to network threats effectively. This comprehensive course covers essential topics such as threat...

Duration 1 day – 7 hrs   Overview   This 1-day training builds upon basic warehouse operations knowledge and introduces key logistics concepts involved in the movement and coordination of goods—especially wet and dry food items—within and outside the warehouse. Participants will explore transport logistics, inbound and outbound coordination, documentation practices, and cold chain considerations,...

Duration 2 days – 14 hrs   Overview   This hands-on course provides an introduction to Splunk, a powerful platform for searching, monitoring, and analyzing machine-generated data. The training focuses on how developers and QA professionals can leverage Splunk to gain insights from logs and metrics, improve application observability, detect anomalies, and support test validation....

Duration 3 days – 21 hrs   Overview.   This course is designed for fresh graduates aspiring to build a career in Data Science. It introduces the fundamentals of data science, focusing on data analysis, visualization, and basic machine learning concepts using Python. The course provides hands-on practice with real-world datasets, equipping participants with the...

Among the most popular and widely implemented NoSQL databases is MongoDB. Its scalability, robustness, and flexibility have made it extremely popular among the Fortune 500 and Global 500 companies who use it to implement a variety of activities including social communications, analytics, content management, archiving, and other activities.

PROGRAMMING / CODING

ASP.NET

SP.NET is a framework for developing dynamic web applications. It supports languages like VB.Net, C#, Jscript.Net, etc. The programming logic and content can be developed separately in Microsoft Asp.Net.

Duration 5 days – 35 hrs   Overview   This Data Science and Analytics Training Course provides a structured and hands-on foundation in data analytics, statistics, visualization, and applied machine learning. Participants will learn how to transform raw data into insights, build dashboards and meaningful reports, and create basic predictive models to support business decision-making....

Apache SystemML with Machine Learning is a practical, hands-on training program designed to help developers, data professionals, and analysts build machine learning solutions using Apache SystemML. The course introduces SystemML architecture, machine learning concepts, data processing, algorithm development, model training, and scalable analytics for large datasets. Participants will gain practical experience creating and executing machine...

// BG EARTH WHEN NOT PLAYING

We use cookies on our website to personalize your experience by storing your preferences and recognizing repeat visits. By clicking “Accept”, you agree to the use of all cookies. You can also select “Cookie Settings” to adjust your preferences and provide more specific consent. Cookie Policy