activity
20212026
most citedThe Rise of GoodFATR: A Novel Accuracy Comparison Methodology for Indicator Extraction Tools

27 citations · 43 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CR2026

TagZilla: Automated Owner and Abuse Type Tagging for Indicators of Compromise in Threat Reports

Gibran Gomez, Juan Caballero

Cyber Threat Intelligence (CTI) reports often describe Indicators of Compromise (IoCs) such as IP addresses, URLs, file hashes, and cryptocurrency wallets involved in cyberattacks.…

cs.CR2024

Clean Up the Mess: Addressing Data Pollution in Cryptocurrency Abuse Reporting Services

Gibran Gomez, Kevin van Liebergen, Davide Sanvito +3

Cryptocurrency abuse reporting services are a valuable data source about abusive blockchain addresses, prevalent types of cryptocurrency abuse, and their financial impact on victim…

cs.CR2023★ 10 cited

Cybercrime Bitcoin Revenue Estimations: Quantifying the Impact of Methodology and Coverage

Gibran Gomez, Kevin van Liebergen, Juan Caballero

Multiple works have leveraged the public Bitcoin ledger to estimate the revenue cybercriminals obtain from their victims. Estimations focusing on the same target often do not agree…

cs.CR2022★ 27 cited

The Rise of GoodFATR: A Novel Accuracy Comparison Methodology for Indicator Extraction Tools

Juan Caballero, Gibran Gomez, Srdjan Matic +3

To adapt to a constantly evolving landscape of cyber threats, organizations actively need to collect Indicators of Compromise (IOCs), i.e., forensic artifacts that signal that a ho…

cs.CR2022★ 6 cited

Watch Your Back: Identifying Cybercrime Financial Relationships in Bitcoin through Back-and-Forth Exploration

Gibran Gomez, Pedro Moreno-Sanchez, Juan Caballero

Cybercriminals often leverage Bitcoin for their illicit activities. In this work, we propose back-and-forth exploration, a novel automated Bitcoin transaction tracing technique to…

cs.CR2021

Unsupervised Detection and Clustering of Malicious TLS Flows

Gibran Gomez, Platon Kotzias, Matteo Dell'Amico +2

Malware abuses TLS to encrypt its malicious traffic, preventing examination by content signatures and deep packet inspection. Network detection of malicious TLS flows is an importa…