output
20082026
most citedProving Differential Privacy via Probabilistic Couplings

98 citations

Showing cs.CRShow all

16 papers · 1 filter

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

SYSPART: Automated Temporal System Call Filtering for Binaries

Vidya Lakshmi Rajagopalan, Konstantinos Kleftogiorgos, Enes Göktaş +2

Restricting the system calls available to applications reduces the attack surface of the kernel and limits the functionality available to compromised applications. Recent approache…

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.CR2023★ 1 cited

Your Code is 0000: An Analysis of the Disposable Phone Numbers Ecosystem

José Miguel Moreno, Srdjan Matic, Narseo Vallina-Rodriguez +1

Short Message Service (SMS) is a popular channel for online service providers to verify accounts and authenticate users registered to a particular service. Specialized applications…

cs.CR2022★ 1 cited

A Deep Dive into VirusTotal: Characterizing and Clustering a Massive File Feed

Kevin van Liebergen, Juan Caballero, Platon Kotzias +1

Online scanners analyze user-submitted files with a large number of security tools and provide access to the analysis results. As the most popular online scanner, VirusTotal (VT) i…

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…