Land forgery, black money rotation with genuine authentication using big data

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Land forgery is predominant in India, the project aims to eliminate forgery activities while selling and buying the land with the guideline value. The money transaction made during the purchase of property majorly contributes to the black money problem in our country. To overcome this black money rotation and land forgery, both the Buyer and Seller has to register the land with their Aadhaar card to verify the genuineness of them. While verifying, if the system identifies any criminal cases filed against the buyer or seller or the land acquired by the seller is not authorized, it blocks the transaction. The process involves of document unique verification, legal activity verification and black money tracking, all the data are maintained in Hbase database and then integrated and stored in HDFS file storage. Map Reduce programming model is used to retrieve required information from big amount of data at a faster rate. If there are no such issues on the buyer and the seller. The overall transaction amount between the buyer and seller is finally referred to the Income Tax Department. If any illegal activity is detected in the transaction, the alert is sent to the Income Tax department and police officials so that the registration is blocked and black money rotation could be avoided.

     


     

  • Keywords


    Big Data; Hadoop; Hbase; HDFS; Forgery.

  • References


      [1] Understanding Big Data Analytics Workloads on Modern Processors Zhen Jia, Jianfeng Zhan, Lei Wang, Chunjie Luo, Wanling Gao, Yi Jin, Rui Han, and Lixin Zhang, June 2017

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      [3] Survey on Big Data Analytics for Digital World Sayali Gaikwad, Department of Computer Engineering, JSCOE, Hadapsar, Pune, India. Pranali Nale, Department of Computer Engineering, JSCOE, Hadapsar, Pune, India. Ravindra Bachate Assistant Professor, Department of Computer Engineering, JSCOE, Hadapsar, Pune, India, Dec 2016.

      [4] A review of research on MapReduce scheduling algorithms in Hadoop, Namrata Singh Dept. of Computer Engineering & Applications, National Institute of Technical Teachers' Training and Research, Bhopal, India Sanjay Agrawal Dept. of Computer Engineering & Applications, National Institute of Technical Teachers' Training and Research, Bhopal, India, July 2015.

      [5] A survey on security of Hadoop Masoumeh Rezaei Jam Department of Computer, Engineering University of Tabriz Tabriz, Ira Leili Mohammad Khanli,Department of Computer, Engineering University of Tabriz Tabriz, Iran Morteza Sargolzaei Javan,Department of Computer Engineering and IT, Amirkabir University of Technology, Tehran, Iran, Dec 2014


 

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Article ID: 14838
 
DOI: 10.14419/ijet.v7i2.33.14838




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