Cybercrime and Underground Attack Technologies: Perspectives from the Nigerian Banking Sector.

Alade, O.M; Amusan, Elizabeth A.; Adedeji, Oluyinka Titilayo; Adebayo, S.B.

doi:10.22624/aims/isteams-2021/v27p6

Cited by 2 publications

(1 citation statement)

References 1 publication

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“…The banking sector is also exposed to various types of cybercrimes, including underground attack technologies, which have been examined in the context of the Nigerian banking sector [28]. Furthermore, the paper "Cyber Security Challenges through the Lens of the Financial Industry" draws attention to the increased concern among European and international authorities regarding cybersecurity risks faced by the financial industry, emphasising the need for proper prevention, identification, assessment, and management of these risks [29].…”

Section: Existing Cybersecurity Challenges In the Finance Industrymentioning

confidence: 99%

Enhancing Zero Trust Models in the Financial Industry through Blockchain Integration: A Proposed Framework

Daah,

Qureshi,

Awan

et al. 2024

Electronics

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As financial institutions navigate an increasingly complex cyber threat landscape and regulatory ecosystem, there is a pressing need for a robust and adaptive security architecture. This paper introduces a comprehensive, Zero Trust model-based framework specifically tailored for the finance industry. It encompasses identity and access management (IAM), data protection, and device and network security and introduces trust through blockchain technology. This study provides a literature review of existing Zero Trust paradigms and contrasts them with cybersecurity solutions currently relevant to financial settings. The research adopts a mixed methods approach, combining extensive qualitative analysis through a literature review and assessment of security assumptions, threat modelling, and implementation strategies with quantitative evaluation using a prototype banking application for vulnerability scanning, security testing, and performance testing. The IAM component ensures robust authentication and authorisation processes, while device and network security measures protect against both internal and external threats. Data protection mechanisms maintain the confidentiality and integrity of sensitive information. Additionally, the blockchain-based trust component serves as an innovative layer to enhance security measures, offering both tamper-proof verification and increased integrity. Through analysis of potential threats and experimental evaluation of the Zero Trust model’s performance, the proposed framework offers financial institutions a comprehensive security architecture capable of effectively mitigating cyber threats and fostering enhanced consumer trust.

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Section: Existing Cybersecurity Challenges In the Finance Industrymentioning

confidence: 99%

Enhancing Zero Trust Models in the Financial Industry through Blockchain Integration: A Proposed Framework

Daah,

Qureshi,

Awan

et al. 2024

Electronics

View full text Add to dashboard Cite

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Estimation of Runoff from River Asa Watershed Using SCS Curve Number and Geographic Information System (GIS)

Olaniyan

Ayemu

Adeyokunnu

et al. 2022

Nig. J. Env. Sci. & Tech.

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The study aims to determine the runoff depth using Soil Conservation Service Curve Number (SCS-CN) method in Geographical Information System (GIS) environment. For River Asa Watershed, the SCS Curve Number method has been adopted for estimating the runoff depth using Rainfall data from 1987-2018. Land use and change cover map were used for the classification of soil type, in order to determine the Hydrological Soil Group (HSG) using ArcGIS. The runoff was estimated from the rainfall runoff equation. The Antecedent Moisture Condition (AMC), potential maximum retention(s) and initial abstraction were computed. Thematic maps such as Soil and Land Use / Land cover and have been used in conjunction with hydrological data for determining hydrological soil Group (HSG) and Curve Number (CN) for land used and change cover classes over the watershed. The values of Hydrological Soil Group, Curve Number and Annual runoff depth varied (6.28-914.22) km2, (65-100) and (16.50-144.89) × 106 m3. The study shows that the high runoff depth was observed in Hydrological soil group (HSG), when compared with curve number (CN), this is due to dense vegetation cover.

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Cybercrime and Underground Attack Technologies: Perspectives from the Nigerian Banking Sector.

Cited by 2 publications

References 1 publication

Enhancing Zero Trust Models in the Financial Industry through Blockchain Integration: A Proposed Framework

Enhancing Zero Trust Models in the Financial Industry through Blockchain Integration: A Proposed Framework

Estimation of Runoff from River Asa Watershed Using SCS Curve Number and Geographic Information System (GIS)

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