A5091372467- Cybercrime and Law Enforcement Studies
- Spam and Phishing Detection
- Crime, Illicit Activities, and Governance
- Advanced Malware Detection Techniques
- Taxation and Compliance Studies
- Respiratory viral infections research
- Copyright and Intellectual Property
- Crime Patterns and Interventions
- Machine Learning in Healthcare
- COVID-19 diagnosis using AI
New York University
2018-2022
Ransomware is a type of malware that encrypts the files infected hosts and demands payment, often in crypto-currency like Bitcoin. In this paper, we create measurement framework use to perform large-scale, two-year, end-to-end ransomware payments, victims, operators. By combining an array data sources, including binaries, seed ransom victim telemetry from infections, large database bitcoin addresses annotated with their owners, sketch outlines burgeoning ecosystem associated third-party...
Understanding the sequences of processes needed to perform a cybercrime is crucial for effective interventions. However, generating these supply chains currently requires time-consuming manual effort. We propose method that leverages machine learning and graph-based analysis efficiently extract from forums. Our chain detection algorithm can identify 33% 42% relevant within major English Russian forums, respectively, showing improvements over baselines 11% 5%, respectively. demonstrates...
Abstract The COVID-19 pandemic has reshaped the demand for goods and services worldwide. combination of a public health emergency, economic distress, misinformation-driven panic have pushed customers vendors towards shadow economy. In particular, dark web marketplaces (DWMs), commercial websites accessible via free software, gained significant popularity. Here, we analyse 851,199 listings extracted from 30 DWMs between January 1, 2020 November 16, 2020. We identify 788 directly related to...
Early analyses revealed that dark web marketplaces (DWMs) started offering COVID-19 related products (e.g., masks and tests) as soon the current pandemic started, when these goods were in shortage traditional economy. Here, we broaden scope depth of previous investigations by analysing 194 DWMs until July 2021, including crucial period which vaccines became available, considering wider impact on DWMs. First, focus vaccines. We fond 250 listings approved vaccines, like Pfizer/BioNTech...
Large scale, subscription based, Internet Protocol Television (IPTV) media piracy is occurring despite current copy-right enforcement efforts. Cybercriminals are abusing legitimate services to setup and maintain illegitimate business operations offering pirated content on a basis. Due the underground aspect of these IPTV operations, not well understood so action against them appear be effective. In this paper, we empirically measure network infrastructure, payment, order intermediary that...
Early analyses revealed that dark web marketplaces (DWMs) started offering COVID-19 related products (e.g., masks and tests) as soon the pandemic started, when these goods were in shortage traditional economy. Here, we broaden scope depth of previous investigations by considering how DWMs responded to an ongoing after initial shock. Our dataset contains listings from 194 collected until July 2021. We start focusing on vaccines. find 248 approved vaccines, like Pfizer/BioNTech AstraZeneca,...
The COVID-19 pandemic has reshaped the demand for goods and services worldwide. combination of a public health emergency, economic distress, misinformation-driven panic have pushed customers vendors towards shadow economy. In particular, dark web marketplaces (DWMs), commercial websites accessible via free software, gained significant popularity. Here, we analyse 851,199 listings extracted from 30 DWMs between January 1, 2020 November 16, 2020. We identify 788 directly related to products...
Acute respiratory infections have epidemic and pandemic potential thus are being studied worldwide, albeit in many different contexts study formats. Predicting infection from symptom data is critical, though using varied studies aggregate challenging because the collected ways. Accordingly, profiles could be more predictive certain studies, or even symptoms of same name meanings contexts. We assess state-of-the-art transfer learning methods for improving prediction multiple types health care...
Cybercrime forums enable modern criminal entrepreneurs to collaborate with other criminals into increasingly efficient and sophisticated endeavors. Understanding the connections between different products services can often illuminate effective interventions. However, generating this understanding of supply chains currently requires time-consuming manual effort. In paper, we propose a language-agnostic method automatically extract from cybercrime forum posts replies. Our chain detection...
Early analyses revealed that dark web marketplaces (DWMs) started offering COVID-19 related products (e.g., masks and tests) as soon the pandemic started, when these goods were in shortage traditional economy. Here, we broaden scope depth of previous investigations by analysing 194 DWMs until July 2021, including crucial period which vaccines became available, considering wider impact on DWMs. First, focus vaccines. We find 250 listings approved vaccines, like Pfizer/BioNTech AstraZeneca,...