Generative AI  /  Beginner to Mastery

Advanced Cyber Investigation and

Forensics Specialist Program

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Course Duration

400 Hours

 

Course Material

Live. Online. Interactive.

Expert guidance and mentorship for building industry-ready skills.

KEY HIGHLIGHTS OF ADVANCED CYBER INVESTIGATION AND FORENSICS SPECIALIST PROGRAM PROGRAM

1) Weekly sessions with industry professionals

2) Dedicated Learning Management Team

3) 400 hours of hands-on learning experience

4) Learn from Industry Experts.

5) Over 138 hours live sessions spread across 06 months

6) 138 hours of self-paced Learning

🔺More than 10+ industry-related projects and case studies

🔺24*7 Support

🔺1:1 Mock Interview

🔺Designed for both working professionals and fresh graduates

🔺Competitive Edge and Innovation

🔺 One-on-One with Industry Mentors

🔺Dedicated Learning Management Team

🔺No-Cost EMI Option

🔺High Demand and Career Opportunities

🔺Problem-Solving and Critical Thinking

WHY JOIN ADVANCED CYBER INVESTIGATION AND FORENSICS SPECIALIST PROGRAM?

Comprehensive Curriculum

Covers digital forensics from fundamentals to advanced areas like memory forensics, network forensics, malware analysis, and incident response.

Practical Experience

400+ hours of hands-on learning with 138+ live sessions, self-paced learning, and real-world capstone projects.

Industry-Standard Tools

Gain expertise in tools like FTK Imager, Volatility, Wireshark, Cyber Triage, Autopsy, and Cellebrite.

Expert Mentorship

Learn directly from IIT faculty, IIM/NIT experts, and seasoned industry professionals with real-world experience.

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Advanced Cyber Investigation and Forensics Specialist Program OVERVIEW

The program is efficiently designed to equip aspiring professionals with significant knowledge, practical expertise and experience to flourish in the changing field of digital forensic and the reaction of the event. The course spreads a comprehensive spectrum of subjects starting with basic concepts in digital forensic and moving into special areas such as memory forensic, network forensic, malware analysis and comprehensive event reaction strategies. The program ensures a strong learning experience, combining the theoretical understanding with the real -world application, and prepares individuals for a successful career in the rapidly developed field of cyber security and digital investigation.

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Advanced Cyber Investigation and Forensics Specialist Program Objectives

The course is designed to provide participants with a wide understanding of digital forensic and event reaction. It includes major concepts such as evidence handling, legal ideas and forensic investigation life cycle. Participants will achieve practical skills in preserving and collecting digital evidence, while Windows and Linux will master the system and OS forensic for the atmosphere. The program also delays memory forensic, network forensic and log analysis to identify and investigate potential security threats. The learners will develop expertise in malware analysis, event reaction and clear, legally making sound forensic reports. Through the hands-on Capstone projects, the participants will apply their skills to the real-world landscapes, preparing them for a successful career in digital forensic, cyber security and reaction to the event.

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Why Learn Advanced Cyber Investigation and Forensics Specialist Program ?

MASTER DIGITAL FORENSICS PRINCIPLES

Understand core concepts such as evidence handling, forensic investigation lifecycle, and the methodologies applied in modern forensic practices.

COLLECT AND ANALYZE DIGITAL EVIDENCE

Gain hands-on skills in acquiring and analyzing evidence from diverse systems including Windows, Linux, mobile, memory, and cloud environments.

ADVANCE INCIDENT RESPONSE SKILLS

Learn to conduct incident response and malware analysis, understand attack patterns, and apply effective recovery strategies.

UTILIZE INDUSTRY-LEADING TOOLS

Master forensic tools and techniques to uncover hidden data, trace security breaches, and support legal investigations with accuracy.

DEVELOP PROFESSIONAL FORENSIC REPORTING

Build expertise in creating detailed, clear, and comprehensive forensic reports for both technical experts and non-technical stakeholders.

GAIN REAL-WORLD EXPERIENCE

Work on practical projects and case studies that simulate real cybercrime scenarios, preparing you for industry challenges.

Program Advantages

✅Gain hands-on experience with industry-standard tools like FTK Imager, Volatility, and Cyber Triage.

✅ Learn from experienced professionals in digital forensics, cybersecurity, and incident response.

✅ Engage in practical labs and real-world case studies for deeper understanding.

✅ Explore comprehensive topics like evidence collection, Windows and Linux forensics, memory analysis, and cyber law.

✅ Work on hands-on projects analyzing cyber-attacks, performing malware analysis, and simulating corporate cyber incidents.

✅ Flexible learning through a mix of live sessions, recorded materials, and self-paced assignments.

✅ Understand global and regional legal frameworks, data privacy regulations, and the chain of custody.

✅Ensure compliance with legal standards for handling digital evidence.

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Advanced Cyber Investigation and Forensics Specialist Program  program Certifications

Advanced Cyber Investigation and Forensics Specialist Program Curriculum

Module 01 - Introduction to Digital Forensics
Lecture 01: Introduction to Digital Forensics: Definition, history, scope, and key areas of application, Types of Digital Forensics: Computer forensics, Mobile forensics, Network forensics, Memory forensics, & Cloud forensics
Lecture 02: Forensic Investigation Lifecycle and Roles: Phases of forensic investigation, roles and responsibilities of a forensic investigator, and tools overview.
Module 02 - Evidence Collection and Preservation
Lecture 03: Principles of Evidence Handling: Best practices, importance of evidence integrity, contamination prevention, and documentation.
Lecture 04: Imaging Techniques – Part 1: Introduction to disk imaging concepts, bit-by-bit imaging, and types of forensic imaging. Part 2: Practical use of imaging tools and steps to create and verify a forensic image.
Lecture 05: Chain of Custody and Legal Considerations: Importance of chain of custody, documentation practices, admissibility in court, and hash verification for evidence integrity using MD5 and SHA-256.

 

Module 03 - Cyber Laws and Regulations

Lecture 06: Overview of Cyber Laws: Introduction to cyber laws, importance of data privacy laws, and key global frameworks (e.g., GDPR, HIPAA). Indian cyber laws: IT Act, 2000 (key sections, amendments).

 

Lecture 07: Digital Evidence Regulations and Case Studies: Admissibility of digital evidence, legal considerations, and analysis of notable Indian and global cybercrime cases.

Module 04 - Cyber Laws and Regulations
Lecture 08:  Evidence Types: Overview of physical, digital, and biological evidence, classification of evidence (direct, indirect, circumstantial), and their relevance in investigations.
Lecture 09: Forensic Best Practices: Importance of documentation, chain of custody, differences between digital and traditional forensics, and integration of both disciplines in investigations.

 

Module 05 - Windows Forensics
Lecture 10:  Introduction to Windows File Systems: Overview of Windows file systems (FAT, NTFS, exFAT), structure, file allocation tables, and their relevance in forensics. User Activity Analysis: Techniques to analyze user activity (recent files, run commands, etc.), user profiles, and traces left in the Windows OS.Tools: FTK Imager (for disk imaging), Cyber Triage (for initial system analysis).
Lecture 11: Registry Forensics: Understanding the Windows Registry, key locations, user activity tracking, evidence recovery from the Registry. Tools: FTK Imager (for registry extraction), Belkasoft RAM Capturer (for capturing live memory to analyze registry keys in RAM).
Lecture 12: Event Logs: Analyzing Windows Event Logs (Security, Application, System), event log sources, and event timeline construction.Tools: Cyber Triage (for parsing and analyzing event logs), Belkasoft Evidence Center (for advanced event log analysis).
Lecture 13: Deleted File Recovery: Methods to recover deleted files, understanding NTFS file slack, unallocated space, and using tools (e.g., FTK Imager, EnCase) to recover files. Tools: FTK Imager (for carving deleted files), Belkasoft RAM Capturer (for recovering volatile data).
Lecture 14: Application Traces & Hands-on Lab: Investigating traces left by applications (browser history, chat logs, application logs) and a practical lab session analyzing Windows file system images.Tools: Cyber Triage (for analyzing application traces), FTK Imager (for application artifact recovery), Belkasoft Evidence Center (for advanced application analysis).

 

Module 06 - Linux Forensics
Lecture 15:  Introduction to Linux File Systems (ext3/ext4): Overview of ext3/ext4 file systems, inode structure, and journaling. Forensic relevance for recovering deleted files.File System Structure: Analyzing ext3/ext4 file systems, inodes, and block structure. Recovering orphaned and deleted files.Tools: Guymager(disk imaging), Sleuth Kit, TestDisk.
Lecture 16: Filesystem Metadata & Evidence Recovery: Exploring inode metadata (timestamps, permissions) and recovering deleted files. Tools: Extundelete, Scalpel, Guymager.
Lecture 17: Analyzing Linux System Logs: Examining logs (auth.log, syslog) to track user activity, logins, and suspicious actions.SSH Logs & Cron Jobs: Investigating SSH logs for unauthorized access and analyzing cron jobs for suspicious activity.Tools: Syslog, journalctl, rkhunter, Guymager.
Lecture 18: Linux Anomaly Detection & Scripts: Writing bash scripts to detect anomalies, such as file modifications or unauthorized processes.Tools: Lsof, Netstat, Guymager.
Lecture 19: Web Server Logs: Analyzing web server logs (Apache/Nginx) and correlating with file system artifacts. Network forensics for abnormal file system activities. Tools: Wireshark, Guymager, Apache/Nginx logs.

 

Module 07 - Memory Forensics
Lecture 20: Introduction to Memory Forensics & Capture: Overview of memory forensics, tools for capturing memory (e.g., WinPMEM, DumpIt), and its importance in investigations.Topics: Memory dump acquisition, types of memory analysis.Tools: WinPMEM, FTKImager
Lecture 21: Analyzing Memory Dumps & Processes: Analyzing memory dumps to identify running processes, system activity, and malicious artifacts. Topics: Process listing, investigating system events in memory. Tools: Volatility.
Lecture 22: Detecting Malware & Recovering Encryption Keys: Using memory forensics to detect malware, analyze rootkits, and recover encryption keys from memory. Topics: Malware detection techniques, tracing encryption keys and passwords. Tools: Volatility, Kaspersky Memory Dump Analyzer.
Module 08 - Incident Response Process
Lecture 23: Incident Response Overview: Definitions, objectives, and importance of IR in cybersecurity. Overview of the 6 IR phases: Preparation, Identification, Containment, Eradication, Recovery, and Lessons Learned.
Lecture 24: Preparation Phase: Setting up incident response policies, playbooks, and tools. Key elements like communication plans, response teams, and proactive measures. Introduction to IR tools like SIEM, SOAR, and ticketing systems.
Lecture 25: Identification and Triage: Recognizing incidents through monitoring, logs, and alerts. Categorizing and prioritizing incidents based on severity. Hands-on practice using Splunk/ELK to analyze alerts and logs for threat identification.
Lecture 26: Containment, Root Cause Analysis (RCA), and Eradication – Immediate damage control, temporary vs. long-term containment. Importance of RCA in understanding the attack origin and vector, RCA with Cyber Triage, malware removal, patching, and hardening.
Lecture 27: Recovery and Lessons Learned: Steps to restore systems and validate their integrity. Developing a ‘lessons learned’ report to improve future responses. Role of forensic investigations in refining IR processes.

 

Module 09 - Forensic Reporting and Documentation
Lecture 28: Introduction to Forensic Reporting – Objectives, importance of documentation, and key report elements: Executive summary, methodology, findings, and recommendations.
Lecture 29: Structuring Reports for Different Audiences – Writing for legal, managerial, and technical audiences; ensuring clarity, avoiding jargon, and maintaining accuracy.
Lecture 30: Tools & Hands-on Practice – Overview of FTK, Autopsy, reporting templates; automating reports, analyzing sample reports, and hands-on report writing.
Module 10 - Network Forensics
Lecture 31: Network Forensics & Traffic Analysis: Overview of network forensics, using Wireshark and tcpdump for packet capture. Analyzing traffic for suspicious activity, patterns, and payloads.Tools: Wireshark, tcpdump.
Lecture 32: Intrusion Detection: Setting up and configuring Snort for network intrusion detection. Understanding how to use signatures and custom rules for identifying malicious traffic.
Lecture 33: Command-and-Control (C2) Detection: Identifying Command-and-Control communications through network analysis. Detection of C2 traffic patterns and common protocols used by malware.
Lecture 34: Network Timeline Reconstruction: Reconstructing network activity to establish a timeline of an attack. Using Splunk for log aggregation, analysis, and timeline creation.
Lecture 35: Setting Up Splunk & Analyzing Logs: Installing and configuring Splunk to ingest network logs for analysis. Using Splunk for network forensic analysis and visualizing traffic data. Tools: Splunk, Syslog servers, network logs.
Module 11 - Log Analysis and Correlation
Lecture 36: Introduction to Log Types & Log Collection: Overview of different types of logs (firewall, server, endpoint), their significance in cybersecurity investigations. Understanding how to collect logs from various sources.
Lecture 37: Log Aggregation & Centralization: Methods and tools for aggregating logs from different systems (firewall, servers, endpoints) into a central repository. Using Syslog servers and log shippers (e.g., Filebeat, Fluentd).
Lecture 38: Log Correlation & Parsing: Introduction to log correlation techniques for identifying patterns across multiple logs. Parsing and normalizing log data for easier analysis. Use of tools like Elastic Stack (ELK) for correlation.
Lecture 39: Anomaly Detection in Logs: Techniques for detecting anomalies in log data using both manual and automated methods. Introduction to anomaly detection algorithms, and the use of Splunk and ELK for detecting abnormal activities.

 

Module 12 - Malware Analysis
Lecture 40: Introduction to Malware Analysis & Static Analysis Overview of malware types, malware lifecycle, and basic principles of static analysis. Introduction to tools like PEiD, IDA Pro, and Binwalk.
Lecture 41: Static Analysis: File Inspection and Signature Analysis: Detailed inspection of binary files, hash analysis, and detecting packers and obfuscation techniques. Using tools like OllyDbg and Ghidra.
Lecture 42: Dynamic Analysis: Behavioral Analysis in a Sandbox: Setting up a controlled environment to observe malware behavior. Deobfuscation Techniques: Reversing obfuscated malware using unpackers and deobfuscation tools.
Lecture 43: Reverse Engineering Malware: Understanding how malware operates by reverse engineering executables. Tools like OllyDbg, Immunity Debugger, and Ghidra for deeper analysis.
Lecture 44: Analyzing Indicators of Compromise (IOCs): How to identify IOCs from both static and dynamic analysis. Creating IOCs from file hashes, IPs, domain names, and registry keys. Use of tools like YARA and MISP for IOC generation and sharing.

 

Module 13 - Threat Hunting
Lecture 45: Overview of threat hunting, key concepts, and role in cybersecurity. Types of threat hunting, Threat intelligence, MITRE ATT&CK framework, and integrating hunting into the incident response lifecycle
Lecture 46: SIEM tools, EDR solutions, behavioral analytics, and script-based hunting (PowerShell/Bash), Identifying and analyzing threats in cloud platforms (AWS, Azure, GCP). Key challenges and mitigation strategies.
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Advanced Cyber Investigation and Forensics Specialist Program Skills Covered

Advanced Cyber Investigation and Forensics Specialist Program Tools Covered

Advanced Cyber Investigation and Forensics Specialist Program Benefits

Practical Digital Forensics Training

Learn practical digital forensics techniques from industry experts, ensuring you’re prepared for real-world cyber incidents.

Hands-on Tool Experience

Gain hands-on experience with top forensic tools like FTK Imager, Volatility, and Wireshark, crucial for evidence analysis.

Incident Response & Malware Analysis

Understand incident response, malware analysis, and how to handle complex cyber-attacks effectively.

Legal & Regulatory Compliance

Master legal aspects of digital forensics, including data privacy regulations and the chain of custody, ensuring compliance.

Forensic Reporting Skills

Develop forensic reporting skills to communicate findings to both technical and non-technical stakeholders.

Real-World Case Studies

Participate in real-world case studies and projects, enhancing your problem-solving abilities in critical situations.

Career Growth & Industry Demand

Stay relevant in the growing field of cybersecurity, with a skill set in high demand across industries.

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Admission Process

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.