Through these methods, it’s possible to uncover associations with criminal organisations, identify the scale of a scam, flag suspicious activities, and assist in recovery efforts for stolen funds. However, it’s important to note that while these methods can aid in tracking and tracing activities, they are not foolproof and are often faced with various challenges due to the inherent anonymity and privacy features of many cryptocurrencies.
This involves assigning ownership to specific wallets or addresses based on available information. However, it’s a complex task given the anonymity cryptocurrencies offer to their users.
Clustering algorithms can be used to group together addresses that are likely controlled by the same entity. This can help identify patterns and track the movement of funds.
In some cases, tracing the IP addresses used in transactions may provide clues about the identities of wallet owners, though this method has its limitations given the prevalence of VPNs and TOR networks that can obscure true IP information.
By analyzing the volume of transactions from particular addresses, it’s possible to identify potential fraudulent activities or operations of criminal organisations.
This involves assessing the risk associated with particular wallets or addresses based on their past transactions and associated entities.
This refers to the tracking of the total value held by an address over time, which can aid in understanding the financial magnitude of a scam or criminal operation.
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