International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume3,January 2016,

Topic : Credit And Debit Card Transaction Survey Using Map Reduce In Hdfs And Implementing Syferlock To Prevent Fraudulent

Authors:R.Anbuvizhi || V.Balakumar

Abstract:Big Data” is a term that has jumped overnight from its roots. It can be described as an innovative technique and technology to save, distribute, manage, visualize and analyze larger-sized data with extreme velocity and methods to manage unstructured and structure incapable amount of data. Nowadays fraud transactions in real time are increasing, so identifying large-scale patterns across many transactions or detecting anomalous behavior from an individual user can change the fraudulent in online transaction. Thus banks are turning to analytics to predict and prevent fraud in real times. In this project, proposed system deals with Credit and Debit card management to improve its scalability and efficiency in big data environment, it is implemented on (HDFS) Hadoop distributed file system. On the other hand, nowadays fraudulent and web attacker are increased to steel the password. In order to overcome those, proposed system implements SyferLock concept to add more security to Credit card transaction. The changes include a stronger user authentication tool, SyferLock that will require associates to follow a few new steps when logging into the network remotely. SyferLock patented, random number generation authentication solutions provide next generation One-Time Passwords/PINs (OTPs) for secure access to computers, networks and the Internet. SyferLock has engineered an enhanced authentication methodology and system using device-less OTPs that provides users with a simple, more secure way to access information leveraging their existing passwords. It uses a one-time password that expired once used. This added security strengthens the ability to protect the applications and systems..

Keywords: Analysis, Big Data, Credit Card, GridPin, Hadoop, Map Reduce, Report, Security, Syferlock

Download Paper


DOI: 01.1617/vol3iss1pid137


Related Articles

A Survey on Travel Based Application using Social Media

Authors: Shanker Shalini || Dr.M.Sheerin Banu

Doi : 01.1617/vol4iss3pid001

Volume4 ,March 2016.

Digitalization of Medical Prescription and Localization of Healthcare Products

Authors: R. Ganesan || E. Kughan , R. Sanjay, S. Arun Karthikeyan

Doi : 01.1617/vol4iss3pid002

Volume4 ,March 2016.

A Survey on Artificial Intelligence In Internet of Things

Authors: S.Thyanesh Pandi || K.Niranjana, R.Vignesh, R.Abishek, J.Suriya Prabha

Doi : 01.1617/vol4iss3pid003

Volume4 ,March 2016.

Amalgamation of Mind Wandering with Military and Defence

Authors: Priyanka Tripathi || Tanu Varshney, Priyanka Chaudhary , Vimal Singh

Doi : 01.1617/vol4iss3pid004

Volume4 ,March 2016.

Combating Mind Wandering in The Area of Academics

Authors: Tanu Varshney || Priyanka Chaudhary, Priyanka Tripathi , Neha Tyagi

Doi : 01.1617/vol4iss3pid005

Volume4 ,March 2016.

5G Wireless Mobile Network

Authors: MS. S. Pavithra || MS.J.Uma Sawmiya, MS.R.Bavani , MS.Smitha

Doi : 01.1617/vol4iss3pid006

Volume4 ,March 2016.

Smart ATM Security System

Authors: Krushna Mantri || Alok Anshu, Abhishek Kr. Abhi , Nikhil R. Shimpi

Doi : 01.1617/vol4iss3pid007

Volume4 ,March 2016.

Vehicle Tracking System

Authors: Meghana H M || Dr. M Siddappa

Doi : 01.1617/vol4iss3pid008

Volume4 ,March 2016.

Integrative Detection of Open Drainage, Garbage & Drainage over Flow and Current Leakage Using Zigbee Technology

Authors: Rathna Priya. K || Rajapandiyan. V, Ramprakash. G , Saravana Perumal. R , Shankara Narayanan. S

Doi : 01.1617/vol4iss3pid009

Volume4 ,March 2016.

Characterisation of Jute, Areca and Glass Reinforced Polymer Composite

Authors: Muhsin M P || Abee Narayan , Arjun Vijaykumar P,Aboobacker Siddiq KV,Channakeshava R

Doi : 01.1617/vol4iss3pid010

Volume4 ,March 2016.

.

Editor-in-Chief

Editor Image


Dr. Allon Guez
Professor, Drexel University,
USA


View more


IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

Google Scholar Profile

Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

All Issues


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


IFERP OTHER JOURNALS


Subscribe

           Email:

SOCIAL MEDIA