Authors: Assistant Professor MR. Ravi, Associate professor Dr. R. S Khatana, Rahul Yadav
Abstract: White-collar crimes, typically non-violent crime characterized by deceit to obtain or avoid losing money. or to gain a personal or business advantage. These crimes include fraud, bribery, embezzlement, money laundering, insider trading, tax evasion, and cybercrime, often committed by individuals in positions of authority. This research focuses on the identification and detection of white-collar crimes in India using a multi-disciplinary approach. Now present time incorporates data mining, forensic accounting, machine learning, and network analysis to uncover suspicious patterns and behaviors from financial records, audit trails, and digital footprints. white-collar crimes in India, impact these crime can have far-reaching negative consequence, impacting businesses, consumers and the economy as a whole.
