UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2107155


Registration ID:
312188

Page Number

b200-b204

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Title

FIND TRANSACTION FRAUD USING FACE DETECTION AND HIDDEN KEYBOARD

Abstract

The financial services sector has undergone a transformation in the last ten years. Customers no longer need to visit their bank – Internet, mobile, and self-service kiosks including ATMs now provide access to services at all times. Whilst cash and cheque still have their place, credit and debit cards are universally accepted, and the mobile phone is moving to take its place as a popular way to pay. A significant manner of police investigation fraud is to extract the behavior profiles (BPs) of users supported their historical dealings records, thus to verify if associate degree incoming dealings is also a fraud or not ocular of their bits per second. Markov process models unit widespread to represent bits per second of users, that's effective for those users whose dealings behaviors unit stable relatively. However, with the event and popularization of on-line trying, it is a heap of convenient for users to consume via Infobahn that diversifies the dealings knowledge entropy-based on characterizes the behaviors of users. Therefore, Markov process models unit unsuitable for the illustration of these behaviors. Throughout variability of dealings behaviors of a user. We’ve an inclination to in addition track fraud user with location by mackintosh address of the user laptop computer transportable or computer that have last dealings successfully. In addition, we've an inclination to stipulate a state transition likelihood matrix to capture temporal choices of transactions of a user. Consequently, we tend to area unit able to construct a BP for each user thus use it to verify if associate degree incoming dealings is also a fraud or not. Our experiments over a real data set illustrate that our methodology is healthier than three progressive ones

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"FIND TRANSACTION FRAUD USING FACE DETECTION AND HIDDEN KEYBOARD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.b200-b204, July-2021, Available :http://www.jetir.org/papers/JETIR2107155.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"FIND TRANSACTION FRAUD USING FACE DETECTION AND HIDDEN KEYBOARD", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppb200-b204, July-2021, Available at : http://www.jetir.org/papers/JETIR2107155.pdf

Publication Details

Published Paper ID: JETIR2107155
Registration ID: 312188
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: b200-b204
Country: Nigadi Pradhikaran, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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