Quiz 2

Learning Objectives

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Python Week 1: the first filter for runtime behavior
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Python Week 1: the first filter for runtime behavior

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# Learning Objectives - Understand digital forensics principles - Apply techniques to recover financial evidence - Maintain chain of custody - Basic understanding of digital systems - Week 1-5: Financial forensics foundation ## 1. Digital Forensics Principles - **Preserve:** Don't alter original evidence (write-bloc...

Learning Objectives

  • Understand digital forensics principles
  • Apply techniques to recover financial evidence
  • Maintain chain of custody
  • Basic understanding of digital systems
  • Week 1-5: Financial forensics foundation

1. Digital Forensics Principles

  • Preserve: Don't alter original evidence (write-blockers, forensics images)
  • Document: Everything you do, step by step
  • Analyze: Systematic examination
  • Report: Clear, defensible conclusions

2. Types of Digital Evidence

  • Emails: Communication trails, hidden recipients, metadata
  • Documents: Metadata (author, creation date, edits), hidden content
  • Spreadsheets: Hidden cells, formulas, linked data sources
  • Databases: Audit logs, deleted records, data anomalies
  • Communication Apps: Messages, call logs, location data

3. Chain of Custody

Documentation that tracks evidence from collection to court presentation.
  • Who collected, when, where
  • Who possessed, when, purpose
  • How stored, secured
  • Any transfers with signatures Purpose: Ensure evidence is admissible in court. Break in chain = evidence excluded.
Q1: What is the chain of custody and why is it important?
Documentation trail showing every person who handled evidence, when, why, and how it was stored. Critical for court admissibility - any break can exclude evidence. Q2: What digital evidence might reveal financial fraud?
Emails discussing false transactions, metadata showing documents backdated, spreadsheets with hidden rows/columns, deleted database records, audit logs showing unauthorized access. Q3: What is a forensics image?
Bit-by-bit copy of a storage device (hard drive, phone, USB). Preserves deleted files, unallocated space, and metadata. Unlike normal copy, captures everything including deleted data. Q4: How can document metadata reveal fraud?
Metadata shows author, creation date, modification dates, previous versions. A contract dated 2023 with "author: John Smith (left company 2021)" suggests backdating. Q5: What is the order of volatility when collecting digital evidence?
Collect most volatile first: CPU registers, RAM, network connections, running processes, temporary files, disk storage, archived backups. Volatile evidence disappears when system is turned off. Join Discord PreviousAnti-Money Laundering (AML)NextData Science for Fraud Detection
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