Depending on the particular application and the type of data being examined, the precise stages required in blockchain forensics can change.
But by adhering to a strict and organized procedure, investigators can learn important details about illicit activity on the blockchain and contribute to the fight against financial crime. The general steps in blockchain forensics are as follows:
Data gathering: This entails gathering all pertinent blockchain data related to the inquiry. This may consist of block data, transaction data and other metadata.
Data analysis: Many methods, including address clustering, transaction graph analysis, data scraping, network analysis and machine learning, are used to examine the data. These methods can be used to spot patterns and links between transactions and addresses, as well as to track down people and businesses engaged in illegal activity.
Visualization of results: Investigators and other stakeholders can readily understand the outcomes of the data analysis thanks to the visualization. Charts, network diagrams and other visual representations fall under this category.
Presentation of the evidence: The results of the analysis are presented in a way that is admissible in court or other legal proceedings. This may involve preparing reports, presenting evidence and providing expert testimony.
Investigation closure: Once the investigation is over, the findings are used to choose the best course of action. This can entail going to court, recovering stolen property and taking other steps to prevent financial crime.

