
Cyber Crime Investigation Course
Master the full spectrum of cybercrime investigation, from digital evidence collection and network forensics to cryptocurrency tracing and courtroom testimony. This course equips law enforcement officers, corporate investigators, and security professionals with the technical skills and legal knowledge to build prosecution-ready cases. Every module is grounded in real investigative procedures that hold up in court.
What you will learn:
You will learn how to identify, preserve, and analyse digital evidence across computers, mobile devices, and cloud platforms while maintaining an unbreakable chain of custody. The course covers network traffic capture, log correlation, and malware analysis so you can reconstruct exactly how an attack unfolded. You will apply OSINT techniques to trace online identities and attribute crimes to real suspects. Financial cybercrime modules teach you to follow money through bank records and blockchain transactions. You will also develop the skills to write forensic reports, qualify as an expert witness, and deliver credible testimony in court.
How you study in a practical way Cyber Crime Investigation Course
How you practise Cyber Crime Investigation Course
For companies looking to train their teams
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Cybercrime and Digital Law
Foundations of Cybercrime and Digital Law
Lesson 1 • Roles and Responsibilities of Investigators
Defines the duties of law enforcement, corporate, and private investigators. Establishes professional boundaries that govern all subsequent practical work.
Lesson 2 • Networking and Internet Fundamentals
Introduces TCP/IP, DNS, and routing concepts essential for tracing digital activity. Builds the technical vocabulary required for evidence collection chapters.
Lesson 3 • Cybercrime Taxonomy and Threat Landscape
Defines cybercrime types, from network intrusions to financial fraud. Provides the classification vocabulary used throughout the course.
Lesson 4 • Legal Frameworks for Digital Offenses
Covers substantive and procedural law governing cybercrime prosecution. Links legal authority to investigative actions taken in later chapters.
Chapter 2HideHide detailsSee detailsDigital Evidence Principles and Handling
Digital Evidence Principles and Handling
Lesson 1 • Nature and Types of Digital Evidence
Explains volatile vs. non-volatile data and where evidence resides across devices. Grounds students in evidence categories before collection techniques are introduced.
Lesson 2 • Scene Documentation and Sketching
Applies photography, sketching, and logging to capture the digital crime scene. Accurate scene records support reconstruction and courtroom presentation.
Lesson 3 • Legal Authority for Evidence Collection
Covers warrants, consent, and exigent circumstances that authorize seizure. Ensures investigators act within legal bounds before touching any device.
Lesson 4 • Chain of Custody Management
Establishes documentation practices that track evidence from seizure to court. Proper custody records prevent evidence challenges during prosecution.
Lesson 5 • Evidence Preservation and Integrity
Teaches write-blocking, hashing, and imaging to maintain evidence integrity. These controls are prerequisites for all forensic analysis covered later.
Chapter 3HideHide detailsSee detailsComputer Forensics Fundamentals
Computer Forensics Fundamentals
Lesson 1 • Data Carving and Recovery
Recovers files from unallocated space using header and footer signatures. Carving extends evidence recovery beyond what the file system records.
Lesson 2 • Forensic Workstation Setup and Tools
Configures a forensically sound examination environment with validated tools. A proper lab setup is the foundation for all analysis tasks in this chapter.
Lesson 3 • Forensic Report Writing
Structures findings into clear, defensible forensic reports for legal audiences. Report quality directly affects the usability of evidence in court.
Lesson 4 • File System Analysis
Examines FAT, NTFS, ext, and APFS structures to locate and recover files. File system knowledge enables investigators to find hidden and deleted data.
Lesson 5 • Operating System Artifact Analysis
Extracts user activity from registry entries, logs, prefetch, and shell items. OS artifacts reveal user behavior and timeline data critical to investigations.
Chapter 4HideHide detailsSee detailsNetwork Forensics and Traffic Analysis
Network Forensics and Traffic Analysis
Lesson 1 • Intrusion Detection and Alert Triage
Evaluates IDS and IPS alerts to distinguish true positives from false positives. Alert triage focuses investigative resources on confirmed malicious activity.
Lesson 2 • Packet Analysis and Protocol Decoding
Decodes TCP, UDP, HTTP, DNS, and SMTP traffic to reconstruct sessions. Protocol-level analysis reveals attacker commands and exfiltrated data.
Lesson 3 • Network Traffic Capture Techniques
Covers SPAN ports, network taps, and promiscuous-mode capture for evidence collection. Proper capture setup ensures complete and unaltered traffic records.
Lesson 4 • Network Attack Timeline Reconstruction
Synthesizes packet, log, and alert data into a chronological attack narrative. Timelines are essential for prosecution and incident response reporting.
Lesson 5 • Log Analysis and Correlation
Parses firewall, IDS, web server, and authentication logs to map attacker activity. Log correlation bridges network evidence with host-based forensic findings.
Chapter 5HideHide detailsSee detailsOnline Identity Tracing and OSINT
Online Identity Tracing and OSINT
Lesson 1 • OSINT Methodology and Source Evaluation
Establishes a structured OSINT collection cycle and source reliability framework. Methodology prevents bias and ensures defensible intelligence products.
Lesson 2 • Building and Documenting Subject Profiles
Synthesizes OSINT data into structured subject profiles with source citations. Profiles support arrest warrants, prosecutions, and further investigative steps.
Lesson 3 • Social Media and Forum Investigation
Extracts identifiers, connections, and behavioral patterns from social platforms. Social media evidence links online personas to real-world suspects.
Lesson 4 • Dark Web and Anonymization Network Research
Investigates Tor, I2P, and similar networks while maintaining investigator anonymity. Understanding anonymization tools is critical for tracing darknet offenders.
Lesson 5 • IP Address and Domain Attribution
Traces IP addresses and domains through WHOIS, RDAP, and passive DNS records. Attribution data connects network activity to specific individuals or organizations.
Chapter 6HideHide detailsSee detailsMalware Analysis for Investigators
Malware Analysis for Investigators
Lesson 1 • Safe Analysis Environment Setup
Builds isolated virtual lab environments for safe malware execution and study. Containment prevents accidental infection and preserves evidence integrity.
Lesson 2 • Dynamic Malware Analysis Techniques
Executes malware in a controlled environment to observe runtime behavior. Dynamic analysis reveals network callbacks, file drops, and registry modifications.
Lesson 3 • Linking Malware to Attacker Infrastructure
Correlates command-and-control domains, IPs, and code similarities to attribute attacks. Infrastructure attribution connects malware samples to known threat actors.
Lesson 4 • Static Malware Analysis Techniques
Examines file headers, strings, imports, and hashes without executing the sample. Static analysis yields quick indicators before dynamic execution is attempted.
Lesson 5 • Malware Classification and Behavior
Categorizes viruses, trojans, ransomware, spyware, and rootkits by behavior. Classification guides the analysis approach and informs legal charging decisions.
Chapter 7HideHide detailsSee detailsFinancial Cybercrime Investigation
Financial Cybercrime Investigation
Lesson 1 • Financial Records and Transaction Analysis
Interprets bank records, payment processor logs, and transaction histories for fraud evidence. Financial records establish the money trail linking suspects to victims.
Lesson 2 • Online Fraud Schemes and Typologies
Examines phishing, business email compromise, card fraud, and investment scams. Typology knowledge enables rapid scheme recognition and evidence targeting.
Lesson 3 • Cryptocurrency Tracing and Blockchain Analysis
Traces Bitcoin and altcoin transactions across public blockchains to follow illicit funds. Blockchain transparency enables financial attribution even through mixing services.
Lesson 4 • Coordinating with Financial Intelligence Units
Establishes protocols for sharing financial evidence with regulatory and intelligence bodies. Coordination amplifies investigative reach and accelerates prosecutions.
Lesson 5 • Money Laundering Detection Methods
Identifies layering, placement, and integration stages in digital money laundering. Detection methods support asset forfeiture and financial crime prosecution.
Chapter 8HideHide detailsSee detailsCase Preparation and Courtroom Presentation
Case Preparation and Courtroom Presentation
Lesson 1 • Cross-Examination Preparation
Prepares investigators to defend methodology and findings under adversarial questioning. Anticipating defense strategies strengthens the credibility of expert testimony.
Lesson 2 • Case File Assembly and Review
Organizes all evidence, reports, and legal documents into a structured case file. A complete, well-indexed file reduces errors and strengthens prosecutorial arguments.
Lesson 3 • Expert Witness Qualification and Role
Explains the standards for qualifying as a digital forensics expert witness. Understanding the expert role prepares investigators for effective courtroom contributions.
Lesson 4 • Presenting Digital Evidence in Court
Teaches methods for displaying exhibits, demonstrating tools, and explaining technical findings. Clear presentation ensures judges and juries understand digital evidence.
Lesson 5 • Post-Trial Review and Lessons Learned
Analyzes trial outcomes to identify investigative and presentational improvements. Continuous review elevates the quality of future investigations and testimony.
Your valid completion certificate
This course is for you:
Law enforcement officer: ready to handle digital evidence in criminal cases.
Corporate security analyst: needing legal grounding for internal cybercrime investigations.
Fraud examiner: expanding into digital transaction tracing and blockchain attribution.
IT professional: transitioning into a dedicated digital forensics or investigations role.
Private investigator: building competency in online identity tracing and OSINT methods.
Compliance officer: seeking structured methods to document and escalate cyber incidents.
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