In the ever-evolving cybersecurity landscape, network forensics has emerged as a crucial field, dedicated to investigating and mitigating cyber threats. The rapid growth of digital communication and the increasing sophistication of cyber-attacks necessitate advanced methods for detecting, analyzing, and responding to security breaches. Machine learning (ML), a subset of artificial intelligence (AI), offers transformative potential in network forensics, promising to revolutionize how we protect and investigate our digital environments.
