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Technical Inquiries & Methodology

Forensic Research & Engineering Notes

Rigorous, reproducible technical inquiries into file system internals, digital evidence preservation, and data recovery engineering.

Under PreparationCOMING SOON

Publications in Development

Our research papers, technical notes, and methodology write-ups are being prepared alongside our core software development. In accordance with our engineering principles, we publish research only when findings are thoroughly tested, reproducible, and peer-reviewable.

We do not publish placeholder articles, speculative whitepapers, or marketing copy disguised as technical research.

Research Agenda

Core Technical Focus Areas

The questions and methodologies currently guiding our investigative work and software architecture.

Storage Architecture

File System Structure & Cluster Carving

Investigating algorithms for reconstructing fragmented file sequences across damaged partition tables, corrupted master file tables, and non-contiguous cluster allocations.

Key Methodological Objectives:
  • Fragmented sector reassembly
  • Corrupted metadata parsing
  • Deterministic header/footer verification
STATUS: RESEARCH_IN_PROGRESS
Forensic Integrity

Solid-State Storage & Write-Blocking Validation

Analyzing media controller behaviors, wear-leveling artifacts, and background garbage collection in modern flash storage to ensure authentic non-destructive examination.

Key Methodological Objectives:
  • Controller background operations
  • Forensically safe access primitives
  • Cryptographic checksum consistency
STATUS: RESEARCH_IN_PROGRESS
Artifact Analysis

Digital Artifact Timeline Reconstruction

Developing structured methods to normalize and correlate temporal timestamps across diverse operating system artifacts, file systems, and log structures.

Key Methodological Objectives:
  • Timestamp precision and resolution
  • Cross-artifact event correlation
  • Anti-tampering verification heuristics
STATUS: RESEARCH_IN_PROGRESS
Methodology

Forensic Tool Validation & Reproducibility

Establishing rigorous testing methodologies to benchmark data extraction algorithms against standardized digital forensic reference images.

Key Methodological Objectives:
  • Reference image benchmarking
  • Algorithmic false-positive auditing
  • Defensible forensic error bounds
STATUS: RESEARCH_IN_PROGRESS

Principles of 404Evidence Research

Reproducibility

Every methodology is documented with precise steps, algorithmic definitions, and verifiable conditions.

Forensic Defensibility

Techniques are validated against rigorous standards where evidence integrity cannot be compromised.

Transparent Boundaries

We explicitly report heuristic limits, failure modes, and areas requiring ongoing empirical study.