Impact of Cybersecurity Threats on Emerging Markets' Integration into Global Trade Networks
DOI:
https://doi.org/10.18034/ajtp.v9i3.741Keywords:
Cybersecurity Threats, Emerging Markets, Global Trade Networks, Trade Integration, Cybersecurity Vulnerabilities, Investor Confidence, International CooperationAbstract
This paper explores how cybersecurity concerns affect developing market integration into global trade networks, concentrating on digital market vulnerabilities. The research seeks to identify developing economies' biggest cybersecurity dangers, examine their effects on global commerce, and suggest resilience methods. Cybersecurity threats and their consequences on trade systems are examined via secondary data-based reviews of literature, reports, and case studies. Due to obsolete infrastructure, inadequate regulatory frameworks, and a cybersecurity skills gap, developing countries are susceptible to cyberattacks. Besides disrupting commerce, these vulnerabilities also damage investor confidence and global supply systems. The report stresses the necessity of improved digital infrastructure, cybersecurity policies, and local professional capacity development. It emphasizes international collaboration and public-private partnerships to strengthen cybersecurity resilience. Policy implications include that developing market countries must emphasize cybersecurity in trade policies and comply with global norms to promote safe and sustainable global commerce. By tackling these issues, emerging economies may boost trade competitiveness and global economic stability.
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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.
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
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., 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
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
Ikeda, K., Marshall, A., Zaharchuk, D. (2019). Agility, Skills and Cybersecurity: Critical Drivers of Competitiveness in Times of Economic Uncertainty. Strategy & Leadership, 47(3), 40-48. https://doi.org/10.1108/SL-02-2019-0032
JayashankaraShridevi, R., Ancajas, D. M., Chakraborty, K., Roy, S. (2017). Security Measures Against a Rogue Network-on-Chip. Journal of Hardware and Systems Security, 1(2), 173-187. https://doi.org/10.1007/s41635-017-0008-z
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., 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
Kartbayev, T., Akhmetov, B., Doszhanova, A., Lakhno, V., Malikova, F. (2019). Development of Decision Support System Based on Feature Matrix for Cyber Threat Assessment. International Journal of Electronics and Telecommunications, 65(4), 545-550. https://doi.org/10.24425/ijet.2019.129811
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. 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., 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
Kovalcíková, N. (2014). Globalisation and the Threats it Poses in the Twenty-first Century. European View, 13(1), 169-179. https://doi.org/10.1007/s12290-014-0305-7
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.
Mariarosaria, T., McCutcheon, T., Luciano, F. (2019). Trusting Artificial Intelligence in Cybersecurity is a Double-edged Sword. Nature Machine Intelligence, 1(12), 557-560. https://doi.org/10.1038/s42256-019-0109-1
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., 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
Okuku, A., Renaud, K., Valeriano, B. (2015). Cybersecurity Strategy's Role in Raising Kenyan Awareness of Mobile Security Threats. Information & Security, 32(2), 1-20. https://doi.org/10.11610/isij.3207
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
Riesco, R., Villagrá, V. A. (2019). Leveraging Cyber Threat Intelligence for a Dynamic Risk Framework. International Journal of Information Security, 18(6), 715-739. https://doi.org/10.1007/s10207-019-00433-2
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., 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., 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.
Teoh, C. S., Mahmood, A. K. (2018). Cybersecurity Workforce Development for Digital Economy. The Educational Review, USA, 2(1), 136-146. https://doi.org/10.26855/er.2018.01.003
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., 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
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