[09-17]identity fraud fraud-know your client rules

Biometrics, Human Body, and Medicine

Date:2021-09-17

kyc solution providers

Author:identity proofing services    politically exposed person screening

Keywords:pep client,    pep government,    kyb api,    face identifier,    personal pii,  kyc standard

Description:

Payment verification method, apparatus and system
Numerous examinations of the weaknesses with current two-factor-authentication (2FA) protocol of Automated Teller Machines (ATMs) systems have been presented by various researchers. It is plausible to suggest that the majority of the proposed solutions of authentication protocols in the reported investigative works are formulated based on Biometrics protocol as access control mechanism. Those aim to protect and validate the privacy of information of users or ATM cards. Most of the financial institutions in Saudi Arabia are still hesitate to use any of these proposed protocols. This is due to the user's mentality to use new technology and the complexity of these systems. This paper proposes a new Mutual Chain Authentication Protocol (MCAP) for the Saudi Payments Network (SPAN) transactions in the Saudi Arabian banking. MCAP is resistant against the well-known communication attacks of the current authentication protocols and it does not contradict with the mentality of users and at the same time preserves the current ATMs system entities.
Fingerprint matching, spoof mitigation and liveness detection are the trendiest biometric techniques, mostly because of their stability through life, uniqueness and their least risk of invasion. In recent decade, several techniques are presented to address these challenges over well-known data-sets. This study provides a comprehensive review on the fingerprint algorithms and techniques which have been published in the last few decades. It divides the research on fingerprint into nine different approaches including feature based, fuzzy logic, holistic, image enhancement, latent, conventional machine learning, deep learning, template matching and miscellaneous techniques. Among these, deep learning approach has outperformed other approaches and gained significant attention for future research. By reviewing fingerprint literature, it is historically divided into four eras based on 106 referred papers and their cumulative citations.

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