PASSIVE METHODS FOR NETWORK FORENSICS AND DEEP PACKET INSPECTION (DPI) IN LOCAL AREA NETWORKS

Network forensics is a critical element of the modern cybersecurity incident investigation process. Unlike active scanning methods, passive analysis enables the extraction of evidentiary material without modifying network traffic and without the risk of exposing the analysis station. This report examines the application of passive Deep Packet Inspection (DPI) methods within Local Area Network (LAN) environments. The focus is placed on the technological framework for Full Packet Capture (FPC), the chronological reassembly of TCP/IP sessions, and the decoding of transport and application-layer protocol structures. By utilizing open-source software tools (tcpdump, Wireshark, TShark), the full cycle of forensic analysis is demonstrated – ranging from the generation of raw .pcap datasets to the extraction of Indicators of Compromise (IoCs) and the reconstruction of transferred files. The report outlines key methodological recommendations for preserving the integrity of digital evidence and analyzes the challenges arising from the widespread adoption of encrypted protocols (TLS/HTTPS).

Authors

Institutions

Publication Details

Journal
Journal Scientific and Applied Research
Published
2026-11-05
DOI
https://doi.org/10.46687/jsar.v30i1.489
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

PASSIVE METHODS FOR NETWORK FORENSICS AND DEEP PACKET INSPECTION (DPI) IN LOCAL AREA NETWORKS

Zdravko Kuzmanov, Denis Zvezdelinov
Journal Scientific and Applied Research
Digital and Cyber Forensics
article

PASSIVE METHODS FOR NETWORK FORENSICS AND DEEP PACKET INSPECTION (DPI) IN LOCAL AREA NETWORKS

Zdravko Kuzmanov, Denis Zvezdelinov
article en

Abstract

Network forensics is a critical element of the modern cybersecurity incident investigation process. Unlike active scanning methods, passive analysis enables the extraction of evidentiary material without modifying network traffic and without the risk of exposing the analysis station. This report examines the application of passive Deep Packet Inspection (DPI) methods within Local Area Network (LAN) environments. The focus is placed on the technological framework for Full Packet Capture (FPC), the chronological reassembly of TCP/IP sessions, and the decoding of transport and application-layer protocol structures. By utilizing open-source software tools (tcpdump, Wireshark, TShark), the full cycle of forensic analysis is demonstrated – ranging from the generation of raw .pcap datasets to the extraction of Indicators of Compromise (IoCs) and the reconstruction of transferred files. The report outlines key methodological recommendations for preserving the integrity of digital evidence and analyzes the challenges arising from the widespread adoption of encrypted protocols (TLS/HTTPS).

Journal Scientific and Applied ResearchVol. 30(1)
Shumen University (BG)
Openalex Percentile: Top 9%
Digital and Cyber Forensics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon