[09-17]money laundering detection-'+KYC +Services

EaZy Learning: An Adaptive Variant of Ensemble Learning for Fingerprint Liveness Detection

Date:2021-09-17

cybercrime in finance

Author:enhanced due diligence is required for    pep associates

Keywords:ubo source of wealth,    aml process flow,    security in the internet of things,    wolfsberg guidelines,    ultimate beneficial owner needs to be identified for,  kyc process meaning

Description:

TURBINE: Trusted revocable biometric identities
Purpose C To identify and discuss the issues and success factors surrounding biometrics, especially in the context of user authentication and controls in the banking sector, using a case study. Design/methodology/approach C The literature survey and analysis of the security models of the present information systems and biometric technologies in the banking sector provide the theoretical and practical background for this work. The impact of adopting biometric solutions in banks was analysed by considering the various issues and challenges from technological, managerial, social and ethical angles. These explorations led to identifying the success factors that serve as possible guidelines for a viable implementation of a biometric-enabled authentication system in banking organisations, in particular for a major bank in New Zealand. Findings C As the level of security breaches and transaction frauds increase day by day, the need for highly secure identification and personal verification information systems is becoming extremely important especially in the banking and finance sector. Biometric technology appeals to many banking organisations as a near perfect solution to such security threats. Though biometric technology has gained traction in areas like healthcare and criminology, its application in banking security is still in its infancy. Due to the close association of biometrics to human, physical and behavioural aspects, such technologies pose a multitude of social, ethical and managerial challenges. The key success factors proposed through the case study served as a guideline for a biometric-enabled security project called Bio-Sec, which is envisaged in a large banking organisation in New Zealand. This pilot study reveals that more than coping with the technology issues of gelling biometrics into the existing information systems, formulating a viable security plan that addresses user privacy fears, human tolerance levels, organisational change and legal issues is of prime importance. Originality/value C Though biometric systems are successfully adopted in areas such as immigration control and criminology, there is a paucity of their implementation and research pertaining to banking environments. Not all banks venture into biometric solutions to enhance their security systems due to their socio-technological issues. This paper fulfils the need for a guideline to identify the various issues and success factors for a viable biometric implementation in a bank's access control system. This work is only a starting point for academics to conduct more research in the application of biometrics in the various facets of banking businesses.
There is tremendous interest in improved methods of reliable and secure identification of people using biometrics. Although, iris is believed to allow very high accuracy, various experiments showed an alarming lack of anti-spoofing mechanisms in devices already protecting many sensitive areas all over the world. This enforces the need for aliveness detection methodology to be quickly introduced. In this paper, all possible types of fake iris has been identified. Previously published work in this field had concentrated only either on active or passive methods for fake iris detection. This has visible shortcomings of detecting only specific types of fake irises corresponding to each method and not of all kinds. This paper proposes a composite method, with promising results, to overcome the shortcomings of existing methods. The FAR and FRR values of the proposed method on realistic database of 160 images are 0.625% and 0.625% respectively. A notable achievement of this work is development of robust iris segmentation algorithm having inherent capability of fake iris detection. Keywords Fake iris detection, anti-spoofing techniques of iris, dynamic iris segmentation, liveliness detection, types of fake irises, fake resistive iris recognition.

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