Development of The Next Generation of Automated Teller Machines (ATMs): Implementing an Advanced Python-Based Architecture for Secure, Adaptive, And Scalable Banking Solutions

The quick headway of innovation has essentially changed the financial scene, requiring the ceaseless development of Mechanized Teller Machines (ATMs) to meet the advancing requirements of clients and monetary foundations. This paper proposes an imaginative way to deal with ATM improvement, utilizing a high-level Python-based design to make cutting edge ATMs that focus on security, versatility, and adaptability. As of late, security has arisen as a fundamental worry in the financial area, especially concerning ATM exchanges and client information. The proposed Python-based engineering consolidates powerful safety efforts, including encryption calculations, verification components, and ongoing checking frameworks. These actions are intended to defend client exchanges and delicate information from different digital dangers, guaranteeing the respectability and classification of banking activities. This customized approach improves consumer loyalty as well as drives client unwaveringness and maintenance in the serious financial industry. All in all, the proposed progressed Python-based design addresses a critical headway in ATM improvement, offering a thorough answer for the diverse difficulties looked by conventional financial frameworks. By focusing on security, versatility, and versatility, this engineering vows to reform the financial experience, giving clients improved comfort, security, and customized administrations while engaging monetary foundations with the adaptability to enhance and adjust to changing business sector elements.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/ictbig64922.2024.10911572
Citations
1
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.53
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article

Development of The Next Generation of Automated Teller Machines (ATMs): Implementing an Advanced Python-Based Architecture for Secure, Adaptive, And Scalable Banking Solutions

Pooja Jha, Mohan Kumar Dehury, Pallab Banerjee, Subhash Kumar et al.
1 citations
FinTech, Crowdfunding, Digital Finance
0.53
article

Development of The Next Generation of Automated Teller Machines (ATMs): Implementing an Advanced Python-Based Architecture for Secure, Adaptive, And Scalable Banking Solutions

Pooja Jha, Mohan Kumar Dehury, Pallab Banerjee, Subhash Kumar, Biresh Kumar, Amrish Kumar Choubey
article en
1 citations

Abstract

The quick headway of innovation has essentially changed the financial scene, requiring the ceaseless development of Mechanized Teller Machines (ATMs) to meet the advancing requirements of clients and monetary foundations. This paper proposes an imaginative way to deal with ATM improvement, utilizing a high-level Python-based design to make cutting edge ATMs that focus on security, versatility, and adaptability. As of late, security has arisen as a fundamental worry in the financial area, especially concerning ATM exchanges and client information. The proposed Python-based engineering consolidates powerful safety efforts, including encryption calculations, verification components, and ongoing checking frameworks. These actions are intended to defend client exchanges and delicate information from different digital dangers, guaranteeing the respectability and classification of banking activities. This customized approach improves consumer loyalty as well as drives client unwaveringness and maintenance in the serious financial industry. All in all, the proposed progressed Python-based design addresses a critical headway in ATM improvement, offering a thorough answer for the diverse difficulties looked by conventional financial frameworks. By focusing on security, versatility, and versatility, this engineering vows to reform the financial experience, giving clients improved comfort, security, and customized administrations while engaging monetary foundations with the adaptability to enhance and adjust to changing business sector elements.

Industry, innovation and infrastructure
Openalex Percentile: Top 21%
FinTech, Crowdfunding, Digital Finance
0.53
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Development of The Next Generation of Automated Teller Machines (ATMs): Implementing an Advanced Python-Based Architecture for Secure, Adaptive, And Scalable Banking Solutions — Pooja Jha, Mohan Kumar Dehury, et al. · (2024) | TGRS Research Map | TGRS