Advances in Machine Learning & Artificial Intelligence(AMLAI)

Master in Cybersecurity, University of Houston, USA

Publications

• Review Article   
  Blockchain-Enabled Evidence Integrity in Web-Server Forensics
  Author(s): Daniel Aigboduwa*
  
  Digital forensics on compromised web servers constitutes a cornerstone of contemporary cybercrime investigation, enabling incident attribution, legal prosecution, and development of defensive intelligence through systematic analysis of traffic logs, authentication traces, and system snapshots. However, the evidentiary value of these digital artifacts depends critically upon maintaining an unbroken chain of custody and demonstrable integrity from collection through judicial presentation requirements that are increasingly difficult to satisfy in adversarial environments where sophisticated threat actors actively seek to obfuscate their activities. Traditional forensic methodologies rely predominantly on centralized evidence management systems where collected artifacts are stored in institutional repositories secured through access controls, cryptographic hashing, and procedural document.. Read More»
  

  Abstract HTML PDF