IJMTES – Paper Presented in: ‘2 day State Level workshop on Cyber Fest 17’, conducted by: ‘Department of Computer Engineering, Marathwada Mitra Mandal College of Engineering, Pune’ on 22-23 Feb 2017

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : FINGERPRINT MATCHING AND EXTRACTION USING HADOOP MAP-REDUCE

Author’s Name : Saurabh Kudale | Rohan Gujar | Akash Bansode | Kaivalya Dalvi | Prof Shubhada Moneunnamed

Paper Presented in : ‘2 day State Level workshop on Cyber Fest 17’, conducted by: ‘Department of Computer Engineering, Marathwada Mitra Mandal College of Engineering, Pune’ on 22-23 Feb 2017

Volume 04 Issue 05 2017

ISSN no:  2348-3121

Page no: 49-52

Abstract – In today’s world, fingerprint is widely used for verification and identification. Security is demanding in wide range of applications. High security can be obtained with the help of fingerprints. Fingerprint verification is one of the most reliable personal identification methods. Secure Shell Algorithms play a vital role in providing data security and preventing against malicious attacks. Encryption of the data now a day’s is an important topic for research, as secure and efficient algorithms are needed that allows optimized encryption and decryption of data. In this paper we propose an implementation of Secure Shell Algorithm (SHA) with Map-Reduce. Our encryption algorithm SHA is simple and fast to process and identify fingerprints. SHA encryption algorithm will provide maximum security and limit the added time and cost for encryption and decryption. This paper will focus on centralizing as well as identification and matching of forensics fingerprint dataset.

Keywords— Fingerprint, encryption, Map-Reduce

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