Digital forensics and Cybersecurity Course

Lesson 1 • Legal and Ethical Foundations

Covers admissibility standards, chain of custody, and investigator ethics. Connects legal requirements to every subsequent technical procedure.

Lesson 2 • Types of Digital Evidence

Catalogues volatile, non-volatile, and network-based evidence categories. Prepares learners to recognise evidence types before learning acquisition techniques.

Lesson 3 • The Forensic Investigation Process

Presents the standard phases: identification, preservation, collection, analysis, and reporting. Learners map each phase to real-world investigative tasks.

Lesson 4 • Introduction to Digital Forensics

Defines digital forensics, its scope, and its role in legal and corporate investigations. Grounds learners in the discipline before any technical content.

Lesson 1 • Security Controls and Their Forensic Relevance

Reviews firewalls, IDS/IPS, SIEM, and access controls as sources of forensic artefacts. Learners learn to query security tools for evidence.

Lesson 2 • Cryptography Essentials

Introduces hashing, symmetric and asymmetric encryption, and PKI as they apply to evidence integrity and encrypted data challenges.

Lesson 3 • Networking Concepts for Forensics

Covers TCP/IP, DNS, DHCP, and packet structure as they relate to evidence interpretation. Provides the network literacy required for later traffic analysis chapters.

Lesson 4 • Operating System Internals

Examines Windows, Linux, and macOS artefacts relevant to forensic analysis. Learners learn where the OS stores evidence before performing disk analysis.

Lesson 1 • Hashing and Evidence Integrity

Demonstrates MD5, SHA-1, and SHA-256 verification workflows to prove evidence has not been altered. Ties integrity verification to chain of custody documentation.

Lesson 2 • Live System and Volatile Data Capture

Addresses RAM capture, running process lists, and network state collection on live systems. Prepares learners for memory forensics in the next chapter.

Lesson 3 • Disk Imaging Principles and Tools

Covers bit-for-bit imaging, image formats, and leading acquisition tools. Establishes the technical baseline for all subsequent disk analysis work.

Lesson 4 • Mobile Device Acquisition

Covers logical, file system, and physical extraction methods for smartphones and tablets. Addresses the unique challenges of mobile evidence preservation.

Lesson 1 • Partition and Volume Analysis

Analyses MBR, GPT, and volume shadow copies to find hidden or deleted partitions. Expands the scope of disk examination beyond the primary partition.

Lesson 2 • File Recovery and Data Carving

Covers deleted file recovery, slack space analysis, and signature-based carving. Learners apply these techniques to recover evidence from unallocated space.

Lesson 3 • File System Structures

Examines FAT, NTFS, ext4, and APFS structures to locate evidence at the sector level. Understanding structure is prerequisite to recovery and carving techniques.

Lesson 4 • Metadata and Timestamp Analysis

Extracts and interprets file metadata, EXIF data, and MACB timestamps to build event timelines. Directly feeds the timeline analysis section of this chapter.

Lesson 1 • Process and DLL Analysis

Identifies malicious processes, injected DLLs, and hollowed processes within memory images. Core technique for detecting fileless and in-memory malware.

Lesson 2 • Malware Identification and Classification

Applies static and behavioural indicators to classify malware families found in memory. Prepares learners for deeper malware analysis in the next section.

Lesson 3 • Network Artefacts in Memory

Extracts active connections, listening ports, and socket structures from RAM. Connects memory findings to network forensics evidence for corroboration.

Lesson 4 • Memory Structure and Acquisition Review

Reviews RAM layout, virtual address spaces, and acquisition methods before analysis begins. Ensures learners can work with memory images from the previous chapter.

Lesson 1 • Packet Capture Analysis

Teaches deep packet inspection, stream reassembly, and protocol decoding using capture files. Builds on acquisition skills to produce actionable network evidence.

Lesson 2 • Flow Data and NetFlow Analysis

Uses flow records to identify anomalous traffic patterns and data exfiltration without full packet data. Complements full packet analysis for high-volume environments.

Lesson 3 • Intrusion Detection and Attribution

Applies network evidence to confirm intrusion, identify lateral movement, and support attribution. Culminates network forensics skills into a complete investigation narrative.

Lesson 4 • System and Security Log Correlation

Correlates Windows event logs, syslog, and firewall logs to build a cross-source attack timeline. Integrates with SIEM concepts introduced in Chapter 2.

Lesson 1 • Incident Response Lifecycle

Maps the preparation, detection, containment, eradication, recovery, and lessons-learned phases to forensic tasks. Provides the operational framework for this chapter.

Lesson 2 • Post-Incident Analysis and Lessons Learned

Structures root cause analysis, gap identification, and control improvement after an incident. Closes the IR lifecycle and feeds improvements back into security posture.

Lesson 3 • Containment and Eradication Strategies

Examines network isolation, account disabling, and malware removal while preserving evidence. Balances operational recovery needs with forensic integrity requirements.

Lesson 4 • Triage and Rapid Assessment

Covers rapid host triage, artefact prioritisation, and scope determination under time pressure. Enables investigators to make fast, evidence-based containment decisions.

Lesson 1 • Writing for Technical and Legal Audiences

Adapts forensic findings for attorneys, executives, and technical peers without sacrificing accuracy. Develops the communication versatility investigators need in practice.

Lesson 2 • Expert Witness Preparation

Prepares learners for deposition, direct examination, and cross-examination as a forensic expert. Addresses the unique pressures of testifying in adversarial proceedings.

Lesson 3 • Case File Management and Archiving

Establishes procedures for organising, securing, and archiving complete case files for future reference. Ensures long-term defensibility of investigative work product.

Lesson 4 • Forensic Report Structure and Standards

Defines required report sections, objectivity standards, and documentation best practices. Establishes the reporting framework used throughout the final project.