paper
Don't Fish in Troubled Waters! Characterizing Coronavirus-themed Cryptocurrency Scams
Pengcheng Xia, Haoyu Wang, Xiapu Luo, Lei Wu, Yajin Zhou
Don't Fish in Troubled Waters! Characterizing Coronavirus-themed Cryptocurrency Scams
Pengcheng Xia, Haoyu Wang, Xiapu Luo, Lei Wu, Yajin Zhou
paper2020-07-27English
cryptocurrency tradingarxiv
Description
As COVID-19 has been spreading across the world since early 2020, a growing number of malicious campaigns are capitalizing the topic of COVID-19. COVID-19 themed cryptocurrency scams are increasingly popular during the pandemic. However, these newly emerging scams are poorly understood by our community. In this paper, we present the first measurement study of COVID-19 themed cryptocurrency scams. We first create a comprehensive taxonomy of COVID-19 scams by manually analyzing the existing scams ...
Similar Books
paper
Quantitative mode stability for the wave equation on the Kerr-Newman spacetime
Damon Civin
Quantitative mode stability for the wave equation on the Kerr-Newman spacetime
paper
Risk-Aware Objective-Based Forecasting in Inertia Management
Haipeng Zhang, Ran Li, Yan Chen, Zhongda Chu, Mingyang Sun
Risk-Aware Objective-Based Forecasting in Inertia Management
paper
Chainalysis: Geography of Cryptocurrency 2023
Chainalysis
Chainalysis: Geography of Cryptocurrency 2023
paper
Periodicity in Cryptocurrency Volatility and Liquidity
Peter Reinhard Hansen, Chan Kim, Wade Kimbrough
Periodicity in Cryptocurrency Volatility and Liquidity
paper
Impact of Geometric Uncertainty on the Computation of Abdominal Aortic Aneurysm Wall Strain
Saeideh Sekhavat, Mostafa Jamshidian, Adam Wittek, Karol Miller
Impact of Geometric Uncertainty on the Computation of Abdominal Aortic Aneurysm Wall Strain
paper
Simulation-based Bayesian inference with ameliorative learned summary statistics -- Part I
Getachew K. Befekadu
Simulation-based Bayesian inference with ameliorative learned summary statistics -- Part I