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TRACE-Graph: Multi-Source Suspect Link Visualizer

A Cybercrime Investigation Support System for Bangladesh
Authors: Karmaker, Shuvo; Sarker, Dipto;

TRACE-Graph: Multi-Source Suspect Link Visualizer

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.

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Keywords

cybersecurity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green