Money laundering (ML) is a critical source of extracting the money illegally from the financial
system. It is linked to various types of crimes, including corruption, exploitation of a specific …

Cybercrime is not a solely technical subject but one that involves human offenders who are
susceptible to social scientific study. Yet, despite calls for cybercrime research to be …

Four conditions influence the complexity of organized crime money laundering. First are
diverse types of crime and forms in which proceeds are generated, including the type of …

Since the 1980s, researchers and practitioners examining the vulnerabilities of financial
institutions to money laundering risk have offered some insights on how experts conduct anti …

The Dark Web is a subset of the Deep Web, requiring special browsers, the Dark Net refers
to encrypted networks, the Deep Web encompasses non-indexed online content, and …

Cybercriminals are commonly assumed to engage in cybercrime for monetary rewards. Like
traditional offenders, they must launder their illicit proceeds to obscure the permanent trails …

Two images dominate discussion of money laundering. Investigative journalists and
politicians stress the variety and sophistication of methods that have been used to launder …

In recent years, with the rapid development of the digital economy, digital currencies such as
Bitcoin and Ethereum have become increasingly popular among the public. Tracking and …

Money mules play an essential role in the execution of financially-motivated cybercrimes.
The bank accounts of money mules, who are often young individuals, are used to hide and …

The role played by decentralised services in the obfuscation of crypto-asset transactions
performed on transparent blockchains has increasingly captured the attention of regulators …