Identification of Land Document Duplication and Black Money Transaction Using Big Data Analytics

Abstract

This paper describes about an application to identify land document forgery using the big data technologies. In the current framework, buying and selling land involves possibilities a lot of illegal activities. In the Proposed Framework, the basic territories involved in the land exchange, namely Corporation office, sub register Office, crime verification and income tax(IT) department are brought together to identify the illegal activities involved. Both the buyer and the seller of the land must register their aadhaar card details and land document information to verify their genuine affirmation. The system also checks if there are any criminal cases filed on them or there are any litigations involved in order to block the transaction for the safety and security. It also identifies black money rotation by allowing only digitalized payment instead of cash-based transactions. The system finally checks with the IT department team about the whole money transaction to ensure the overall transaction is legal and genuine. In the whole process, if any misdoing or malpractice is detected, the whole transaction is blocked and an alert is sent to the original landowner and police to file a case on the criminals.