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Research and review articles are invited for publication in September - October 2026 (Volume 18, Issue 1) Submit manuscript

Strengthening cross-border technology integration with a collaborative cybersecurity model for U.S. and Canada

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  • Strengthening cross-border technology integration with a collaborative cybersecurity model for U.S. and Canada

Christian Chukwuemeka Ike 1, *, Sikirat Damilola Mustapha 2, Gideon Opeyemi Babatunde 3 and Abidemi Adeleye Alabi 4

1 GLOBACOM Nigeria Limited.
2 Montclair State University, Montclair, New Jersey, USA.
3 Cadillac Fairview, Ontario, Canada.
4 Independent Researcher, Texas, USA.
Review Article
Magna Scientia Advanced Research and Reviews, 2024, 12(01), 275-294
Article DOI: 10.30574/msarr.2024.12.1.0153
DOI url: https://doi.org/10.30574/msarr.2024.12.1.0153
Received on 20 August 2024; revised on 08 October 2024; accepted on 11 October 2024
As technological advancements continue to drive cross-border collaborations between the United States and Canada, cybersecurity challenges have emerged, hindering the seamless integration of digital infrastructure. This abstract explores the need for strengthening cross-border technology integration through the development of a collaborative cybersecurity model that enhances data protection, mitigates cyber threats, and fosters innovation. The integration of emerging technologies, such as cloud computing, IoT, and artificial intelligence, has led to an increased flow of sensitive data between both nations, necessitating a robust cybersecurity framework that ensures resilience against evolving cyber risks. The proposed cybersecurity model emphasizes collaboration between governmental agencies, private sector entities, and international organizations to create a unified, proactive defense mechanism. Key components of the model include the alignment of cybersecurity policies and practices, mutual recognition of compliance frameworks, joint threat intelligence sharing, and the establishment of rapid response teams for coordinated action in the event of cyber incidents. Additionally, the model advocates for the integration of advanced cybersecurity technologies like machine learning and blockchain to enhance threat detection, secure data transactions, and improve incident management. This research underscores the importance of a collaborative approach to cybersecurity, as both nations face increasingly sophisticated cyber threats targeting critical infrastructure, intellectual property, and personal data. By fostering an environment of shared responsibility and transparency, the proposed model aims to create a secure digital ecosystem that supports the growth of cross-border technological collaborations. The benefits of this cybersecurity model include improved threat detection and response times, enhanced trust between U.S. and Canadian entities, and a strengthened foundation for innovation in the digital economy. However, challenges such as regulatory differences, resource constraints, and privacy concerns may arise during implementation. Nevertheless, this study advocates for a unified cybersecurity strategy that positions both nations for continued success in a digitally interconnected world.
Cross-Border Technology Integration; Cybersecurity Collaboration; U.S.-Canada Cybersecurity Model; Cloud Computing; IoT Security; Artificial Intelligence; Cyber Threat Intelligence; Blockchain; Threat Detection; Digital Economy
https://msarr.magnascientiapub.com/sites/default/files/fulltext_pdf/MSARR-2024-…

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Christian Chukwuemeka Ike, Sikirat Damilola Mustapha, Gideon Opeyemi Babatunde and Abidemi Adeleye Alabi. Strengthening cross-border technology integration with a collaborative cybersecurity model for U.S. and Canada. Magna Scientia Advanced Research and Reviews, 2024, 12(1), 275-294. Article DOI: https://doi.org/10.30574/msarr.2024.12.1.0153

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