Cybersecurity Risks in Financial Transactions: Implications for Global Trade and Economic Development
DOI:
https://doi.org/10.18034/gdeb.v12i2.787Keywords:
Cybersecurity Risks, Financial Transactions, Global Trade, Economic Development, Digital Finance, Cyber Threats, Supply Chain Finance, Cyberattack MitigationAbstract
This research examines financial transaction cybersecurity vulnerabilities and their effects on global commerce and economic growth. The study seeks to understand cyber dangers, financial system vulnerabilities, and economic impact of international trade. The research examines cybersecurity concerns using secondary data from literature, industry reports, and case studies. Phishing, ransomware, and advanced persistent threats (APTs) targeting crucial financial systems, including interbank payment networks and supply chain financing, are becoming more sophisticated. The report also shows that developing countries are susceptible to weak cybersecurity infrastructure and worsening global economic imbalances. The study also emphasizes the relevance of AI, blockchain, and multi-factor authentication in cybersecurity. Policy implications include international collaboration to unify cybersecurity standards and laws and targeted help for developing economies to improve cybersecurity resilience. The research recommends cybersecurity innovation and cross-border cooperation to promote safe and fair global commerce. The results emphasize the need to enhance cybersecurity policies to protect economic stability and promote sustainable growth in a digitalized world.
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Ahmmed, S., Narsina, D., Addimulam, S., & Boinapalli, N. R. (2021). AI-Powered Financial Engineering: Optimizing Risk Management and Investment Strategies. Asian Accounting and Auditing Advancement, 12(1), 37–45. https://4ajournal.com/article/view/96
Allam, A. R. (2020). Integrating Convolutional Neural Networks and Reinforcement Learning for Robotics Autonomy. NEXG AI Review of America, 1(1), 101-118.
Boinapalli, N. R. (2020). Digital Transformation in U.S. Industries: AI as a Catalyst for Sustainable Growth. NEXG AI Review of America, 1(1), 70-84.
Catalini, C. (2018). Blockchain Technology and Cryptocurrencies: Implications for the Digital Economy, Cybersecurity, and Government. Georgetown Journal of International Affairs, 19, 36-42. https://doi.org/10.1353/gia.2018.0005
Deming, C., Pasam, P., Allam, A. R., Mohammed, R., Venkata, S. G. N., & Kothapalli, K. R. V. (2021). Real-Time Scheduling for Energy Optimization: Smart Grid Integration with Renewable Energy. Asia Pacific Journal of Energy and Environment, 8(2), 77-88. https://doi.org/10.18034/apjee.v8i2.762
Devarapu, K. (2020). Blockchain-Driven AI Solutions for Medical Imaging and Diagnosis in Healthcare. Technology & Management Review, 5, 80-91. https://upright.pub/index.php/tmr/article/view/165
Devarapu, K. (2021). Advancing Deep Neural Networks: Optimization Techniques for Large-Scale Data Processing. NEXG AI Review of America, 2(1), 47-61.
Devarapu, K., Rahman, K., Kamisetty, A., & Narsina, D. (2019). MLOps-Driven Solutions for Real-Time Monitoring of Obesity and Its Impact on Heart Disease Risk: Enhancing Predictive Accuracy in Healthcare. International Journal of Reciprocal Symmetry and Theoretical Physics, 6, 43-55. https://upright.pub/index.php/ijrstp/article/view/160
Fadziso, T., Manikyala, A., Kommineni, H. P., & Venkata, S. S. M. G. N. (2023). Enhancing Energy Efficiency in Distributed Systems through Code Refactoring and Data Analytics. Asia Pacific Journal of Energy and Environment, 10(1), 19-28. https://doi.org/10.18034/apjee.v10i1.778
Farhan, K. A., Asadullah, A. B. M., Kommineni, H. P., Gade, P. K., & Venkata, S. S. M. G. N. (2023). Machine Learning-Driven Gamification: Boosting User Engagement in Business. Global Disclosure of Economics and Business, 12(1), 41-52. https://doi.org/10.18034/gdeb.v12i1.774
Gade, P. K. (2019). MLOps Pipelines for GenAI in Renewable Energy: Enhancing Environmental Efficiency and Innovation. Asia Pacific Journal of Energy and Environment, 6(2), 113-122. https://doi.org/10.18034/apjee.v6i2.776
Gade, P. K. (2023). AI-Driven Blockchain Solutions for Environmental Data Integrity and Monitoring. NEXG AI Review of America, 4(1), 1-16.
Gade, P. K., Sridharlakshmi, N. R. B., Allam, A. R., & Koehler, S. (2021). Machine Learning-Enhanced Beamforming with Smart Antennas in Wireless Networks. ABC Journal of Advanced Research, 10(2), 207-220. https://doi.org/10.18034/abcjar.v10i2.770
Gade, P. K., Sridharlakshmi, N. R. B., Allam, A. R., Thompson, C. R., & Venkata, S. S. M. G. N. (2022). Blockchain’s Influence on Asset Management and Investment Strategies. Global Disclosure of Economics and Business, 11(2), 115-128. https://doi.org/10.18034/gdeb.v11i2.772
Gummadi, J, C. S. (2022). Blockchain-Enabled Healthcare Systems: AI Integration for Improved Patient Data Privacy. Malaysian Journal of Medical and Biological Research, 9(2), 101-110.
Gummadi, J. C. S., Narsina, D., Karanam, R. K., Kamisetty, A., Talla, R. R., & Rodriguez, M. (2020). Corporate Governance in the Age of Artificial Intelligence: Balancing Innovation with Ethical Responsibility. Technology & Management Review, 5, 66-79. https://upright.pub/index.php/tmr/article/view/157
Gummadi, J. C. S., Thompson, C. R., Boinapalli, N. R., Talla, R. R., & Narsina, D. (2021). Robotics and Algorithmic Trading: A New Era in Stock Market Trend Analysis. Global Disclosure of Economics and Business, 10(2), 129-140. https://doi.org/10.18034/gdeb.v10i2.769
Hu, G., Li, B., Xiu, Y. (2019). Impact of Cyber Attacks on Trade between Coastal Countries: An Empirical Study. Journal of Coastal Research, 94(SI), 976-982. https://doi.org/10.2112/SI94-192.1
Kahyaoglu, S. B., Caliyurt, K. (2018). Cyber Security Assurance Process from the Internal Audit Perspective. Managerial Auditing Journal, 33(4), 360-376. https://doi.org/10.1108/MAJ-02-2018-1804
Kamisetty, A. (2022). AI-Driven Robotics in Solar and Wind Energy Maintenance: A Path toward Sustainability. Asia Pacific Journal of Energy and Environment, 9(2), 119-128. https://doi.org/10.18034/apjee.v9i2.784
Kamisetty, A., Onteddu, A. R., Kundavaram, R. R., Gummadi, J. C. S., Kothapalli, S., Nizamuddin, M. (2021). Deep Learning for Fraud Detection in Bitcoin Transactions: An Artificial Intelligence-Based Strategy. NEXG AI Review of America, 2(1), 32-46.
Karanam, R. K., Natakam, V. M., Boinapalli, N. R., Sridharlakshmi, N. R. B., Allam, A. R., Gade, P. K., Venkata, S. G. N., Kommineni, H. P., & Manikyala, A. (2018). Neural Networks in Algorithmic Trading for Financial Markets. Asian Accounting and Auditing Advancement, 9(1), 115–126. https://4ajournal.com/article/view/95
Kommineni, H. P. (2019). Cognitive Edge Computing: Machine Learning Strategies for IoT Data Management. Asian Journal of Applied Science and Engineering, 8(1), 97-108. https://doi.org/10.18034/ajase.v8i1.123
Kommineni, H. P. (2020). Automating SAP GTS Compliance through AI-Powered Reciprocal Symmetry Models. International Journal of Reciprocal Symmetry and Theoretical Physics, 7, 44-56. https://upright.pub/index.php/ijrstp/article/view/162
Kommineni, H. P., Fadziso, T., Gade, P. K., Venkata, S. S. M. G. N., & Manikyala, A. (2020). Quantifying Cybersecurity Investment Returns Using Risk Management Indicators. Asian Accounting and Auditing Advancement, 11(1), 117–128. Retrieved from https://4ajournal.com/article/view/97
Kothapalli, S. (2021). Blockchain Solutions for Data Privacy in HRM: Addressing Security Challenges. Journal of Fareast International University, 4(1), 17-25. https://jfiu.weebly.com/uploads/1/4/9/0/149099275/2021_3.pdf
Kothapalli, S. (2022). Data Analytics for Enhanced Business Intelligence in Energy-Saving Distributed Systems. Asia Pacific Journal of Energy and Environment, 9(2), 99-108. https://doi.org/10.18034/apjee.v9i2.781
Kothapalli, S., Manikyala, A., Kommineni, H. P., Venkata, S. G. N., Gade, P. K., Allam, A. R., Sridharlakshmi, N. R. B., Boinapalli, N. R., Onteddu, A. R., & Kundavaram, R. R. (2019). Code Refactoring Strategies for DevOps: Improving Software Maintainability and Scalability. ABC Research Alert, 7(3), 193–204. https://doi.org/10.18034/ra.v7i3.663
Kshetri, N. (2013). Cybercrime and Cyber-security Issues Associated with China: Some Economic and Institutional Considerations. Electronic Commerce Research, 13(1), 41-69. https://doi.org/10.1007/s10660-013-9105-4
Kshetri, N. (2016). Cybercrime and Cybersecurity in India: Causes, Consequences and Implications for the Future. Crime, Law and Social Change, 66(3), 313-338. https://doi.org/10.1007/s10611-016-9629-3
Kuerbis, B., Badiei, F. (2017). Mapping the Cybersecurity Institutional Landscape. Digital Policy, Regulation and Governance, 19(6), 466-492. https://doi.org/10.1108/DPRG-05-2017-0024
Kundavaram, R. R., Rahman, K., Devarapu, K., Narsina, D., Kamisetty, A., Gummadi, J. C. S., Talla, R. R., Onteddu, A. R., & Kothapalli, S. (2018). Predictive Analytics and Generative AI for Optimizing Cervical and Breast Cancer Outcomes: A Data-Centric Approach. ABC Research Alert, 6(3), 214-223. https://doi.org/10.18034/ra.v6i3.672
Lis, P., Mendel, J. (2019). Cyberattacks on Critical Infrastructure: An Economic Perspective 1. Economics and Business Review, 5(2), 24-47. https://doi.org/10.18559/ebr.2019.2.2
Manikyala, A. (2022). Sentiment Analysis in IoT Data Streams: An NLP-Based Strategy for Understanding Customer Responses. Silicon Valley Tech Review, 1(1), 35-47.
Manikyala, A., Kommineni, H. P., Allam, A. R., Nizamuddin, M., & Sridharlakshmi, N. R. B. (2023). Integrating Cybersecurity Best Practices in DevOps Pipelines for Securing Distributed Systems. ABC Journal of Advanced Research, 12(1), 57-70. https://doi.org/10.18034/abcjar.v12i1.773
Narsina, D. (2020). The Integration of Cybersecurity, IoT, and Fintech: Establishing a Secure Future for Digital Banking. NEXG AI Review of America, 1(1), 119-134. https://nexgaireview.weebly.com/uploads/9/9/8/2/9982776/2020.8.pdf
Narsina, D. (2022). Impact of Cybersecurity Threats on Emerging Markets’ Integration into Global Trade Networks. American Journal of Trade and Policy, 9(3), 141-148. https://doi.org/10.18034/ajtp.v9i3.741
Narsina, D., Devarapu, K., Kamisetty, A., Gummadi, J. C. S., Richardson, N., & Manikyala, A. (2021). Emerging Challenges in Mechanical Systems: Leveraging Data Visualization for Predictive Maintenance. Asian Journal of Applied Science and Engineering, 10(1), 77-86. https://doi.org/10.18034/ajase.v10i1.124
Narsina, D., Gummadi, J. C. S., Venkata, S. S. M. G. N., Manikyala, A., Kothapalli, S., Devarapu, K., Rodriguez, M., & Talla, R. R. (2019). AI-Driven Database Systems in FinTech: Enhancing Fraud Detection and Transaction Efficiency. Asian Accounting and Auditing Advancement, 10(1), 81–92. https://4ajournal.com/article/view/98
Narsina, D., Richardson, N., Kamisetty, A., Gummadi, J. C. S., & Devarapu, K. (2022). Neural Network Architectures for Real-Time Image and Video Processing Applications. Engineering International, 10(2), 131-144. https://doi.org/10.18034/ei.v10i2.735
Ng, A. W., Kwok, B. K. (2017). Emergence of Fintech and Cybersecurity in a Global Financial Centre. Journal of Financial Regulation and Compliance, 25(4), 422-434. https://doi.org/10.1108/JFRC-01-2017-0013
Nizamuddin, M., Devarapu, K., Onteddu, A. R., & Kundavaram, R. R. (2022). Cryptography Converges with AI in Financial Systems: Safeguarding Blockchain Transactions with AI. Asian Business Review, 12(3), 97-106. https://doi.org/10.18034/abr.v12i3.742
Onteddu, A. R., Rahman, K., Roberts, C., Kundavaram, R. R., Kothapalli, S. (2022). Blockchain-Enhanced Machine Learning for Predictive Analytics in Precision Medicine. Silicon Valley Tech Review, 1(1), 48-60. https://www.siliconvalley.onl/uploads/9/9/8/2/9982776/2022.4
Onteddu, A. R., Venkata, S. S. M. G. N., Ying, D., & Kundavaram, R. R. (2020). Integrating Blockchain Technology in FinTech Database Systems: A Security and Performance Analysis. Asian Accounting and Auditing Advancement, 11(1), 129–142. https://4ajournal.com/article/view/99
Richardson, N., Manikyala, A., Gade, P. K., Venkata, S. S. M. G. N., Asadullah, A. B. M., & Kommineni, H. P. (2021). Emergency Response Planning: Leveraging Machine Learning for Real-Time Decision-Making. Technology & Management Review, 6, 50-62. https://upright.pub/index.php/tmr/article/view/163
Roberts, C., Kundavaram, R. R., Onteddu, A. R., Kothapalli, S., Tuli, F. A., Miah, M. S. (2020). Chatbots and Virtual Assistants in HRM: Exploring Their Role in Employee Engagement and Support. NEXG AI Review of America, 1(1), 16-31.
Rodriguez, M., Mohammed, M. A., Mohammed, R., Pasam, P., Karanam, R. K., Vennapusa, S. C. R., & Boinapalli, N. R. (2019). Oracle EBS and Digital Transformation: Aligning Technology with Business Goals. Technology & Management Review, 4, 49-63. https://upright.pub/index.php/tmr/article/view/151
Rodriguez, M., Rahman, K., Devarapu, K., Sridharlakshmi, N. R. B., Gade, P. K., & Allam, A. R. (2023). GenAI-Augmented Data Analytics in Screening and Monitoring of Cervical and Breast Cancer: A Novel Approach to Precision Oncology. Engineering International, 11(1), 73-84. https://doi.org/10.18034/ei.v11i1.718
Rodriguez, M., Sridharlakshmi, N. R. B., Boinapalli, N. R., Allam, A. R., & Devarapu, K. (2020). Applying Convolutional Neural Networks for IoT Image Recognition. International Journal of Reciprocal Symmetry and Theoretical Physics, 7, 32-43. https://upright.pub/index.php/ijrstp/article/view/158
Sridharlakshmi, N. R. B. (2020). The Impact of Machine Learning on Multilingual Communication and Translation Automation. NEXG AI Review of America, 1(1), 85-100.
Sridharlakshmi, N. R. B. (2021). Data Analytics for Energy-Efficient Code Refactoring in Large-Scale Distributed Systems. Asia Pacific Journal of Energy and Environment, 8(2), 89-98. https://doi.org/10.18034/apjee.v8i2.771
Talla, R. R. (2022). Integrating Blockchain and AI to Enhance Supply Chain Transparency in Energy Sectors. Asia Pacific Journal of Energy and Environment, 9(2), 109-118. https://doi.org/10.18034/apjee.v9i2.782
Talla, R. R., Addimulam, S., Karanam, R. K., Natakam, V. M., Narsina, D., Gummadi, J. C. S., Kamisetty, A. (2023). From Silicon Valley to the World: U.S. AI Innovations in Global Sustainability. Silicon Valley Tech Review, 2(1), 27-40.
Talla, R. R., Addimulam, S., Karanam, R. K., Natakam, V. M., Narsina, D., Gummadi, J. C. S., Kamisetty, A. (2023). From Silicon Valley to the World: U.S. AI Innovations in Global Sustainability. Silicon Valley Tech Review, 2(1), 27-40. https://www.siliconvalley.onl/uploads/9/9/8/2/9982776/2023.3_
Talla, R. R., Manikyala, A., Gade, P. K., Kommineni, H. P., & Deming, C. (2022). Leveraging AI in SAP GTS for Enhanced Trade Compliance and Reciprocal Symmetry Analysis. International Journal of Reciprocal Symmetry and Theoretical Physics, 9, 10-23. https://upright.pub/index.php/ijrstp/article/view/164
Talla, R. R., Manikyala, A., Nizamuddin, M., Kommineni, H. P., Kothapalli, S., Kamisetty, A. (2021). Intelligent Threat Identification System: Implementing Multi-Layer Security Networks in Cloud Environments. NEXG AI Review of America, 2(1), 17-31.
Talla, R. R., Manikyala, A., Nizamuddin, M., Kommineni, H. P., Kothapalli, S., Kamisetty, A. (2021). Intelligent Threat Identification System: Implementing Multi-Layer Security Networks in Cloud Environments. NEXG AI Review of America, 2(1), 17-31. https://nexgaireview.weebly.com/uploads/9/9/8/2/9982776/2021.2.pdf
Talla, R. R., Manikyala, A., Nizamuddin, M., Kommineni, H. P., Kothapalli, S., Kamisetty, A. (2021). Intelligent Threat Identification System: Implementing Multi-Layer Security Networks in Cloud Environments. NEXG AI Review of America, 2(1), 17-31.
Thompson, C. R., Talla, R. R., Gummadi, J. C. S., Kamisetty, A (2019). Reinforcement Learning Techniques for Autonomous Robotics. Asian Journal of Applied Science and Engineering, 8(1), 85-96. https://ajase.net/article/view/94
Venkata, S. S. M. G. N., Gade, P. K., Kommineni, H. P., & Ying, D. (2022). Implementing MLOps for Real-Time Data Analytics in Hospital Management: A Pathway to Improved Patient Care. Malaysian Journal of Medical and Biological Research, 9(2), 91-100. https://mjmbr.my/index.php/mjmbr/article/view/692
Venkata, S. S. M. G. N., Gade, P. K., Kommineni, H. P., Manikyala, A., & Boinapalli , N. R. (2022). Bridging UX and Robotics: Designing Intuitive Robotic Interfaces. Digitalization & Sustainability Review, 2(1), 43-56. https://upright.pub/index.php/dsr/article/view/159
Wang, Y., Han, J. H., Beynon-Davies, P. (2019). Understanding Blockchain Technology for Future Supply Chains: A Systematic Literature Review and Research Agenda. Supply Chain Management, 24(1), 62-84. https://doi.org/10.1108/SCM-03-2018-0148
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Copyright (c) 2023 RamMohan Reddy Kundavaram; Abhishake Reddy Onteddu; Md. Nizamuddin; Krishna Devarapu
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