TRACE-Graph: Multi-Source Suspect Link Visualizer

Abstract TRACE-Graph is an investigation-support tool for law enforcement agencies in Bangladesh (CID, DB, CTTC, Cyber Crime Unit). It combines digital data from multiple sources such as SIM/CDR, mobile financial services (MFS), social media identifiers, and device logs. The system creates a clear visual connection graph to help investigators quickly understand suspect networks. TRACE-Graph reduces manual work, improves evidence clarity, and generates case reports faster. Introduction Cybercrime investigations in Bangladesh often involve data from many separate sources. Investigators must manually compare phone records, wallet transactions, social media activity, and device traces. This process is slow and may miss important links. TRACE-Graph helps investigators by organizing and visualizing these connections in one system.This Idea is Presented and become the Champion at the Cyber Security Awareness Day 2025 (CSAD 2025) Idea Presentation competition held at Daffodil International University.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-20
DOI
https://doi.org/10.5281/zenodo.18330456
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
article

TRACE-Graph: Multi-Source Suspect Link Visualizer

Shuvo Karmaker, Dipto Sarker
Zenodo (CERN European Organization for Nuclear Research)
Digital and Cyber Forensics
article

TRACE-Graph: Multi-Source Suspect Link Visualizer

Shuvo Karmaker, Dipto Sarker
article en

Abstract

Abstract TRACE-Graph is an investigation-support tool for law enforcement agencies in Bangladesh (CID, DB, CTTC, Cyber Crime Unit). It combines digital data from multiple sources such as SIM/CDR, mobile financial services (MFS), social media identifiers, and device logs. The system creates a clear visual connection graph to help investigators quickly understand suspect networks. TRACE-Graph reduces manual work, improves evidence clarity, and generates case reports faster. Introduction Cybercrime investigations in Bangladesh often involve data from many separate sources. Investigators must manually compare phone records, wallet transactions, social media activity, and device traces. This process is slow and may miss important links. TRACE-Graph helps investigators by organizing and visualizing these connections in one system.This Idea is Presented and become the Champion at the Cyber Security Awareness Day 2025 (CSAD 2025) Idea Presentation competition held at Daffodil International University.

Zenodo (CERN European Organization for Nuclear Research)
Daffodil International University (BD)
Peace, Justice and strong institutions
Openalex Percentile: Top 89%
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.

TRACE-Graph: Multi-Source Suspect Link Visualizer — Shuvo Karmaker, Dipto Sarker · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS