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Key Terminology and Scope

Lesson 2/47 | Study Time: 15 Min

Key terminology and scope form the foundation of computer and cyber forensics, providing a shared language for professionals to describe processes, evidence, and investigations accurately. These terms ensure clarity when handling digital evidence in legal, corporate, or incident response contexts, preventing misunderstandings that could compromise cases.

Core Definitions in Digital Forensics

Understanding these essentials sets the stage for all forensic work. They describe the what, how, and why of investigations.


1. Digital Evidence: Any data stored or transmitted in binary form that holds probative value, such as files, logs, emails, or metadata, usable in court or internal reviews.

2. Computer Forensics: The process of preserving, identifying, extracting, and documenting computer-based evidence to reconstruct events scientifically and legally.

3. Cyber Forensics: A broader term encompassing forensics across networks, cloud, mobiles, and IoT, focusing on cybercrime traces like intrusions or data exfiltration.

4. Chain of Custody: A documented trail tracking evidence handling from collection to presentation, ensuring integrity and admissibility by logging who, what, when, and how.

These terms emphasize preservation over alteration, a principle that guides every step.

Key Processes and Methodologies

Processes outline the structured workflow investigators follow. Each builds on the last for reliable outcomes.


This workflow, often called the evidence lifecycle, ensures repeatability and court acceptance.

Specialized Forensics Domains

Modern investigations span devices and environments. These terms highlight scope expansions.


1. Memory Forensics (RAM Forensics): Analyzing volatile RAM dumps for running processes, malware, or keys before shutdown wipes them.

2. Network Forensics: Capturing and dissecting traffic (PCAPs) for intrusion paths, C2 communications, or exfiltration.

3. Cloud Forensics: Extracting logs and artifacts from multi-tenant clouds like AWS or Azure, tackling jurisdiction and volatility challenges.

4. Mobile Forensics: Recovering data from smartphones, including app artifacts, geolocation, and encrypted chats.

5. File System Forensics: Parsing structures (NTFS, ext4) for deleted files, slack space, or metadata like timestamps.

Note: These domains adapt traditional methods to new tech, keeping pace with crimes in hybrid environments.

Evidence Artifacts and Challenges

Artifacts are the "clues" left behind. Recognizing them sharpens investigative focus.


Challenges include encryption, volatility, and volume—terabytes demand triage skills. Yet, redundancy across logs and backups often counters these.

Scope: What Forensics Covers (and Limits)

The scope defines boundaries. Forensics proves "what happened," not always "who" without correlation.


It applies to:


Cybercrimes: Hacking, ransomware, phishing.

Internal probes: IP theft, policy violations.

eDiscovery: Civil litigation data collection.

Limits: Not real-time prevention (that's security ops); requires legal authority for access. Ethical use prioritizes privacy and admissibility.

​In practice, scope aligns with frameworks like NIST or ISO 27037, standardizing global work.

Alexander Cruise

Alexander Cruise

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Class Sessions

1- Evolution of Digital Crime and Cyber Forensics 2- Key Terminology and Scope 3- Digital Evidence Lifecycle and Forensic Principles 4- Legal, Regulatory, and Standards Context 5- Roles and Career Paths in Computer and Cyber Forensics 6- Structured Digital Investigation Methodologies 7- Scoping and Planning an Investigation 8- Evidence Sources in Enterprise Environments 9- Documentation, Case Notes, and Evidence Tracking 10- Working with Multidisciplinary Teams 11- Computer and Storage Architecture for Investigators 12- File System Structures and Artifacts 13- File and Artifact Recovery 14- Common User-Activity Artifacts 15- Principles of Forensically Sound Acquisition 16- Acquisition Strategies 17- Volatile vs Non-Volatile Data Acquisition 18- Handling Encrypted and Locked Systems 19- Evidence Handling, Transport, and Storage 20- Windows Forensics Essentials 21- Linux and Unix-Like System Forensics 22- macOS and Modern Desktop Environments 23- Memory Forensics Concepts 24- Timeline Construction Using OS and Memory Artifacts 25- Network Forensics Fundamentals 26- Enterprise Logging and Telemetry 27- Cloud Forensics (IaaS, PaaS, SaaS) 28- Email and Messaging Investigations 29- Timeline Building from Heterogeneous Logs 30- Modern Malware and Ransomware Landscape 31- Malware Forensics Concepts 32- Host-Level Artifacts of Compromise 33- Ransomware Incident Artifacts 34- Dark Web and Anonymous Network Forensics 35- Common Anti-Forensics Techniques 36- Detection of Anti-Forensics 37- Countering Anti-Forensics 38- Resilient Evidence Collection Strategies 39- Incident Response Frameworks and Phases 40- Forensics-Driven Incident Response 41- Threat Hunting Linked with Forensics 42- Post-Incident Activities 43- Forensic Report Structure 44- Writing for Multiple Audiences 45- Presenting and Defending Findings 46- Ethics, Confidentiality, and Professional Conduct 47- Continuous Learning and Certification Pathways

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