NETWORK FORENSICS: AN IN-DEPTH STUDY OF TECHNIQUES, CHALLENGES, AND FUTURE PERSPECTIVES
International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)
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Abstract
As cyber threats evolve in complexity, the need for comprehensive investigative methods intensifies. Network forensics is a critical domain within digital forensics that specializes in the monitoring, capture, recording, and analysis of network events to reconstruct security incidents and gather admissible evidence. This paper presents a detailed overview of network forensics, encompassing techniques, tools, challenges, case studies, and emerging trends. We discuss the integration of machine learning, blockchain, and cloud computing into forensic frameworks and highlight the open research challenges that must be addressed to advance the field.
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Keywords
Network Forensics, Cybersecurity, Intrusion Detection, Deep Packet Inspection, Traffic Analysis, Encrypted Traffic Analysis, Malware Communication, AI in Forensics, Blockchain for Evidence, Cloud Forensics, IoT Forensics, Evidence Preservation, Chain of Custody.
