The Role of Cybersecurity in Safeguarding Cross-Border E-Commerce and Economic Growth
DOI:
https://doi.org/10.18034/abr.v14i2.739Keywords:
Cybersecurity, Cross-Border E-Commerce, Economic Growth, Digital Trade, Consumer Trust, Payment Fraud, Blockchain, Artificial IntelligenceAbstract
This research examines how cybersecurity protects cross-border e-commerce and boosts economic development. With digital commerce growing rapidly, the study examines how strong cybersecurity standards affect customer trust, corporate resilience, and international trade. The research analyzes cybersecurity issues, new technologies, and their economic effects on cross-border e-commerce using secondary data from peer-reviewed journals, industry reports, and regulatory papers. Secure digital platforms are crucial to customer trust, and strong cybersecurity policies may limit financial risks, facilitate corporate innovation, and help SMEs in global marketplaces. Artificial intelligence, blockchain, and sophisticated encryption improve cybersecurity and secure e-commerce platforms. The report also highlights legislative fragmentation and the need for international collaboration to standardize cybersecurity standards. Governments must create collaborative frameworks, encourage firms to embrace cutting-edge security solutions and promote digital literacy to raise consumer awareness. Businesses and governments can build a safe digital trade environment that boosts economic development, minimizes risks, and opens new global commerce possibilities by closing cybersecurity gaps.
Downloads
References
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., Farhan, K. A., Kommineni, H. P., Deming, C., & Boinapalli, N. R. (2024). Effective Change Management Strategies: Lessons Learned from Successful Organizational Transformations. American Journal of Trade and Policy, 11(1), 17-30. https://doi.org/10.18034/ajtp.v11i1.730 DOI: https://doi.org/10.18034/ajtp.v11i1.730
Bordoff, S., Chen, Q., Zheng, Y. (2017). Cyber Attacks, Contributing Factors, and Tackling Strategies: The Current Status of the Science of Cybersecurity. International Journal of Cyber Behavior, Psychology and Learning; 7(4), 68-82. https://doi.org/10.4018/IJCBPL.2017100106 DOI: https://doi.org/10.4018/IJCBPL.2017100106
Broome, P. A. (2016). Conceptualizing the Foundations of A Regional E-commerce Strategy: Open Networks or Closed Regimes? The Case of CARICOM. Cogent Business & Management, 3(1). https://doi.org/10.1080/23311975.2016.1139441 DOI: https://doi.org/10.1080/23311975.2016.1139441
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
Dhameliya, N., Sai Sirisha Maddula, Kishore Mullangi, & Bhavik Patel. (2021). Neural Networks for Autonomous Drone Navigation in Urban Environments. Technology & Management Review, 6, 20-35. https://upright.pub/index.php/tmr/article/view/141
Dhar, M. S. M., Manimegalai, R. (2018). A Policy-oriented Secured Service for the E-commerce Applications in Cloud. Personal and Ubiquitous Computing, 22(5-6), 911-919. https://doi.org/10.1007/s00779-018-1138-1 DOI: https://doi.org/10.1007/s00779-018-1138-1
Farhan, K. A., Onteddu, A. R., Kothapalli, S., Manikyala, A., Boinapalli, N. R., & Kundavaram, R. R. (2024). Harnessing Artificial Intelligence to Drive Global Sustainability: Insights Ahead of SAC 2024 in Kuala Lumpur. Digitalization & Sustainability Review, 4(1), 16-29. https://upright.pub/index.php/dsr/article/view/161
Goda, D. R. (2020). Decentralized Financial Portfolio Management System Using Blockchain Technology. Asian Accounting and Auditing Advancement, 11(1), 87–100. https://4ajournal.com/article/view/87
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. (2023). IoT Security in the Banking Sector: Mitigating the Vulnerabilities of Connected Devices and Smart ATMs. Asian Business Review, 13(3), 95-102. https://doi.org/10.18034/abr.v13i3.737 DOI: https://doi.org/10.18034/abr.v13i3.737
Gummadi, J. C. S. (2024). Cybersecurity in International Trade Agreements: A New Paradigm for Economic Diplomacy. American Journal of Trade and Policy, 11(1), 39-48. https://doi.org/10.18034/ajtp.v11i1.738 DOI: https://doi.org/10.18034/ajtp.v11i1.738
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 DOI: https://doi.org/10.18034/gdeb.v10i2.769
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 DOI: 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 DOI: https://doi.org/10.18034/apjee.v9i2.784
Kamisetty, A., Narsina, D., Rodriguez, M., Kothapalli, S., & Gummadi, J. C. S. (2023). Microservices vs. Monoliths: Comparative Analysis for Scalable Software Architecture Design. Engineering International, 11(2), 99-112. https://doi.org/10.18034/ei.v11i2.734
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.
Kommineni, H. P., Gade, P. K., Venkata, S. S. M. G. N., & Manikyala, A. (2024). Data-Driven Business Intelligence in Energy Distribution: Analytics and Environment-Focused Approaches. Global Disclosure of Economics and Business, 13(1), 59-72. https://doi.org/10.18034/gdeb.v13i1.779 DOI: https://doi.org/10.18034/gdeb.v13i1.779
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 DOI: 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 DOI: https://doi.org/10.18034/ra.v7i3.663
Kothapalli, S., Nizamuddin, M., Talla, R. R., Gummadi, J. C. S. (2024). DevOps and Software Architecture: Bridging the Gap between Development and Operations. American Digits: Journal of Computing and Digital Technologies, 2(1), 51-64.
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 DOI: https://doi.org/10.1007/s10611-016-9629-3
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 DOI: 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 DOI: https://doi.org/10.18559/ebr.2019.2.2
Maddula, S. S. (2018). The Impact of AI and Reciprocal Symmetry on Organizational Culture and Leadership in the Digital Economy. Engineering International, 6(2), 201–210. https://doi.org/10.18034/ei.v6i2.703 DOI: https://doi.org/10.18034/ei.v6i2.703
Maddula, S. S. (2023). Evaluating Current Techniques for Detecting Vulnerabilities in Ethereum Smart Contracts. Engineering International, 11(1), 59–72. https://doi.org/10.18034/ei.v11i1.717 DOI: https://doi.org/10.18034/ei.v11i1.717
Maddula, S. S. (2023). Optimizing Web Performance While Enhancing Front End Security for Delta Airlines. American Digits: Journal of Computing, Robotics, and Digital Technologies, 1(1), 1-17.
Mallipeddi, S. R. (2022). Harnessing AI and IoT Technologies for Sustainable Business Operations in the Energy Sector. Asia Pacific Journal of Energy and Environment, 9(1), 37-48. https://doi.org/10.18034/apjee.v9i1.735 DOI: https://doi.org/10.18034/apjee.v9i1.735
Manikyala, A. (2024). Code Refactoring for Energy-Saving Distributed Systems: A Data Analytics Approach. Asia Pacific Journal of Energy and Environment, 11(1), 1-12. https://doi.org/10.18034/apjee.v11i1.780 DOI: https://doi.org/10.18034/apjee.v11i1.780
Manikyala, A., Talla, R. R., Gade, P. K., & Venkata, S. S. M. G. N. (2024). Implementing AI in SAP GTS for Symmetric Trade Analytics and Compliance. American Journal of Trade and Policy, 11(1), 31-38. https://doi.org/10.18034/ajtp.v11i1.733 DOI: https://doi.org/10.18034/ajtp.v11i1.733
Moga, H., Boscoianu, M., Ungureanu, D., Sandu, F., Boboc, R. (2016). Network of Unmanned Systems Cyber Attacks over National Economy Infrastructures. Applied Mechanics and Materials, 859, 144-152. https://doi.org/10.4028/www.scientific.net/AMM.859.144 DOI: https://doi.org/10.4028/www.scientific.net/AMM.859.144
Mullangi, K., Anumandla, S. K. R., Maddula, S. S., Vennapusa, S. C. R., & Mohammed, M. A. (2018). Accelerated Testing Methods for Ensuring Secure and Efficient Payment Processing Systems. ABC Research Alert, 6(3), 202–213. https://doi.org/10.18034/ra.v6i3.662 DOI: https://doi.org/10.18034/ra.v6i3.662
Mullangi, K., Dhameliya, N., Anumandla, S. K. R., Yarlagadda, V. K., Sachani, D. K., Vennapusa, S. C. R., Maddula, S. S., & Patel, B. (2023). AI-Augmented Decision-Making in Management Using Quantum Networks. Asian Business Review, 13(2), 73–86. https://doi.org/10.18034/abr.v13i2.718 DOI: https://doi.org/10.18034/abr.v13i2.718
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 DOI: 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
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
Pesic, G. S. (2018). Surviving and Thriving in the Digital Economy. The School of Public Policy Publications (SPPP), 11. https://doi.org/10.11575/sppp.v11i0.43356 DOI: https://doi.org/10.55016/ojs/sppp.v11i1.43356
Richardson, N., Kothapalli, S., Onteddu, A. R., Kundavaram, R. R., & Talla, R. R. (2023). AI-Driven Optimization Techniques for Evolving Software Architecture in Complex Systems. ABC Journal of Advanced Research, 12(2), 71-84. https://doi.org/10.18034/abcjar.v12i2.783 DOI: https://doi.org/10.18034/abcjar.v12i2.783
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., 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., Shajahan, M. A., Sandu, A. K., Maddula, S. S., & Mullangi, K. (2021). Emergence of Reciprocal Symmetry in String Theory: Towards a Unified Framework of Fundamental Forces. International Journal of Reciprocal Symmetry and Theoretical Physics, 8, 33-40. https://upright.pub/index.php/ijrstp/article/view/136
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
Sachani, D. K., Anumandla, S. K. R., Maddula, S. S. (2022). Human Touch in Retail: Analyzing Customer Loyalty in the Era of Self-Checkout Technology. Silicon Valley Tech Review, 1(1), 1-13.
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 DOI: https://doi.org/10.18034/apjee.v9i2.782
Talla, R. R. (2023). Role of Blockchain in Enhancing Cybersecurity and Efficiency in International Trade. American Journal of Trade and Policy, 10(3), 83-90. https://doi.org/10.18034/ajtp.v10i3.736 DOI: https://doi.org/10.18034/ajtp.v10i3.736
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., 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.
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 DOI: https://doi.org/10.18034/ajase.v8i1.94
Xiao, L., Guo, Z., D'Ambra, J., Fu, B. (2016). Building Loyalty in E-commerce. Program, 50(4), 431-461. https://doi.org/10.1108/PROG-04-2016-0040 DOI: https://doi.org/10.1108/PROG-04-2016-0040
Xiao, S. (2018). Research on the Information Security of Sharing Economy Customers Based on Block Chain Technology. Information Systems and eBusiness Management, 1-10. https://doi.org/10.1007/s10257-018-0380-4 DOI: https://doi.org/10.1007/s10257-018-0380-4
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Arjun Kamisetty
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Asian Business Review is an Open Access journal. Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a CC BY-NC 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of their work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal. We require authors to inform us of any instances of re-publication.
How to Cite
