Home / Current Issue / Paper 1706123
A Cloud Security Compliance Framework to Tackle Emerging Data Protection Issues in U.S. and Canada
Subject area: Science,Engineering and Technology · Area of research: Cloud Security
Abstract
As businesses in the U.S. and Canada increasingly adopt cloud computing technologies, ensuring robust cloud security and compliance with data protection regulations has become paramount. This study presents a comprehensive Cloud Security Compliance Framework designed to address emerging data protection challenges, particularly in the context of evolving regulatory landscapes in North America. The framework aims to simplify compliance management while ensuring the protection of sensitive data against evolving cyber threats, data breaches, and regulatory violations. The framework integrates key security principles, such as data encryption, access controls, and threat detection, with a structured approach to regulatory compliance. By aligning with both U.S. and Canadian data protection laws, including the General Data Protection Regulation (GDPR)-influenced frameworks in Canada and the California Consumer Privacy Act (CCPA) in the U.S., the model ensures a cohesive approach to multi-jurisdictional compliance. It provides actionable guidelines for businesses to comply with industry standards such as ISO/IEC 27001 and NIST cybersecurity frameworks. Key components of the Cloud Security Compliance Framework include risk assessment processes, data classification schemes, audit trails, and continuous monitoring mechanisms. By leveraging automated tools, the framework offers businesses a scalable, efficient method for tracking compliance requirements, managing security risks, and ensuring that cloud services adhere to regulatory mandates. It also incorporates incident response protocols to swiftly address security breaches and mitigate potential data loss or exposure. Pilot implementations of the framework across various sectors?such as healthcare, finance, and retail?demonstrate its effectiveness in reducing data protection vulnerabilities and enhancing stakeholder trust. The study highlights the importance of proactive security measures and compliance strategies to mitigate emerging risks and future-proof cloud deployments. This research contributes to the field by offering a robust, adaptable compliance framework that enables businesses in the U.S. and Canada to navigate the complexities of cloud security, ensuring the privacy and protection of sensitive data while meeting regulatory expectations.
Keywords
Cloud Security, Data Protection, Compliance Framework, U.S. and Canada, Cybersecurity, Data Encryption, Regulatory Compliance, GDPR, CCPA, Risk Assessment.
References
[1] Aaronson, S. A., & Leblond, P. (2018). Another digital divide: The rise of data realms and its implications for the WTO. Journal of International Economic Law, 21(2), 245-272.
[2] Adebayo, V. I., Ige, A. B., Idemudia, C., & Eyieyien, O. G. (2024). Ensuring compliance with regulatory and legal requirements through robust data governance structures. Open Access Research Journal of Multidisciplinary Studies, 8(1), 036-044. https://doi.org/10.53022/oarjms.2024.8.1.0043
[3] Adepoju, P. A., Austin-Gabriel, B., Ige, A. B., Hussain, N. Y., Amoo, O. O., & Afolabi, A. I. (2022). Machine learning innovations for enhancing quantum-resistant cryptographic protocols in secure communication. Open Access Research Journal of Multidisciplinary Studies. https://doi.org/10.53022/oarjms.2022.4.1.0075
[4] Afolabi, A. I., Hussain, N. Y., Austin-Gabriel, B., Ige, A. B., & Adepoju, P. A. (2023). Geospatial AI and data analytics for satellite-based disaster prediction and risk assessment. Open Access Research Journal of Engineering and Technology. https://doi.org/10.53022/oarjet.2023.4.2.0058
[5] Afolabi, A. I., Ige, A. B., Akinade, A. O., & Adepoju, P. A. (2023). Virtual reality and augmented reality: A comprehensive review of transformative potential in various sectors. Magna Scientia Advanced Research and Reviews. https://doi.org/10.30574/msarr.2023.7.2.0039
[6] Akinade, A. O., Adepoju, P. A., Ige, A. B., & Afolabi, A. I. (2022). Advancing segment routing technology: A new model for scalable and low-latency IP/MPLS backbone optimization. Open Access Research Journal of Science and Technology.
[7] Akinade, A. O., Adepoju, P. A., Ige, A. B., & Afolabi, A. I. (2023). Evaluating AI and ML in cybersecurity: A USA and global perspective. GSC Advanced Research and Reviews. https://doi.org/10.30574/gscarr.2023.17.1.0409
[8] Alawida, M., Omolara, A. E., Abiodun, O. I., & Al-Rajab, M. (2022). A deeper look into cybersecurity issues in the wake of Covid-19: A survey. Journal of King Saud University-Computer and Information Sciences, 34(10), 8176-8206.
[9] Aliyu, A., Maglaras, L., He, Y., Yevseyeva, I., Boiten, E., Cook, A., & Janicke, H. (2020). A holistic cybersecurity maturity assessment framework for higher education institutions in the United Kingdom. Applied Sciences, 10(10), 3660.
[10] Amin, Z. (2019). A practical road map for assessing cyber risk. Journal of Risk Research, 22(1), 32-43.
[11] Armenia, S., Angelini, M., Nonino, F., Palombi, G., & Schlitzer, M. F. (2021). A dynamic simulation approach to support the evaluation of cyber risks and security investments in SMEs. Decision Support Systems, 147, 113580.
[12] Austin-Gabriel, B., Hussain, N. Y., Ige, A. B., Adepoju, P. A., & Afolabi, A. I. (2023). Natural language processing frameworks for real-time decision-making in cybersecurity and business analytics. International Journal of Science and Technology Research Archive. https://doi.org/10.53771/ijstra.2023.4.2.0018
[13] Austin-Gabriel, B., Hussain, N. Y., Ige, A. B., Adepoju, P. A., & Afolabi, A. I. (2023). Natural language processing frameworks for real-time decision-making in cybersecurity and business analytics. International Journal of Science and Technology Research Archive. https://doi.org/10.53771/ijstra.2023.4.2.0018
[14] Austin-Gabriel, B., Hussain, N. Y., Ige, A. B., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I. (2021). Advancing zero trust architecture with AI and data science for enterprise cybersecurity frameworks. Open Access Research Journal of Engineering and Technology. https://doi.org/10.53022/oarjet.2021.1.1.0107
[15] Austin-Gabriel, B., Hussain, N. Y., Ige, A. B., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I. (2021). Advancing zero trust architecture with AI and data science for enterprise cybersecurity frameworks. Open Access Research Journal of Engineering and Technology. https://doi.org/10.53022/oarjet.2021.1.1.0107
[16] Babalola, O., Nwatu, C. E., Folorunso, A. & Adewa, A. (2024). A governance framework model for cloud computing: Role of AI, security, compliance, and management. World Journal of Advanced Research Reviews
[17] Bamberger, K. A., & Mulligan, D. K. (2015). Privacy on the ground: driving corporate behavior in the United States and Europe. MIT Press.
[18] Beardwood, J. (2023). Cyberbreaches in Critical Infrastructure: It’s not just about Personal Data Breaches Anymore (Part 1)—A comparison of the new security regime for critical infrastructures in Canada, USA and EU. Computer Law Review International, 24(4), 109-114.
[19] Bello, H. O., Ige, A. B., & Ameyaw, M. N. (2024). Adaptive machine learning models: Concepts for real-time financial fraud prevention in dynamic environments. World Journal of Advanced Engineering Technology and Sciences, 12(2), 021–034. https://doi.org/10.30574/wjaets.2024.12.2.0266
[20] Bello, H. O., Ige, A. B., & Ameyaw, M. N. (2024). Deep learning in high-frequency trading: Conceptual challenges and solutions for real-time fraud detection. World Journal of Advanced Engineering Technology and Sciences, 12(2), 035–04. https://doi.org/10.30574/wjaets.2024.12.2.0265
[21] Bello, O. A., Folorunso, A., Ejiofor, O. E., Budale, F. Z., Adebayo, K., & Babatunde, O. A. (2023). Machine Learning Approaches for Enhancing Fraud Prevention in Financial Transactions. International Journal of Management Technology, 10(1), 85-108.
[22] Bello, O. A., Folorunso, A., Ogundipe, A., Kazeem, O., Budale, A., Zainab, F., & Ejiofor, O. E. (2022). Enhancing Cyber Financial Fraud Detection Using Deep Learning Techniques: A Study on Neural Networks and Anomaly Detection. International Journal of Network and Communication Research, 7(1), 90-113.
[23] Bello, O. A., Folorunso, A., Onwuchekwa, J., & Ejiofor, O. E. (2023). A Comprehensive Framework for Strengthening USA Financial Cybersecurity: Integrating Machine Learning and AI in Fraud Detection Systems. European Journal of Computer Science and Information Technology, 11(6), 62-83.
[24] Bello, O. A., Folorunso, A., Onwuchekwa, J., Ejiofor, O. E., Budale, F. Z., & Egwuonwu, M. N. (2023). Analysing the Impact of Advanced Analytics on Fraud Detection: A Machine Learning Perspective. European Journal of Computer Science and Information Technology, 11(6), 103-126.
[25] Bello, S. A., Oyedele, L. O., Akinade, O. O., Bilal, M., Delgado, J. M. D., Akanbi, L. A., ... & Owolabi, H. A. (2021). Cloud computing in construction industry: Use cases, benefits and challenges. Automation in Construction, 122, 103441.
[26] Bodeau, D. J., McCollum, C. D., & Fox, D. B. (2018). Cyber threat modeling: Survey, assessment, and representative framework. Mitre Corp, Mclean, 2021-11.
[27] Buchanan, B. (2016). The cybersecurity dilemma: Hacking, trust, and fear between nations. Oxford University Press.
[28] Cherdantseva, Y., Burnap, P., Blyth, A., Eden, P., Jones, K., Soulsby, H., & Stoddart, K. (2016). A review of cyber security risk assessment methods for SCADA systems. Computers & security, 56, 1-27.
[29] Chukwurah, N., Ige, A. B., Adebayo, V. I., & Eyieyien, O. G. (2024). Frameworks for effective data governance: Best practices, challenges, and implementation strategies across industries. Computer Science & IT Research Journal, 5(7), 1666-1679. https://doi.org/10.51594/csitrj.v5i7.1351
[30] Chukwurah, N., Ige, A. B., Idemudia, C., & Adebayo, V. I. (2024). Strategies for engaging stakeholders in data governance: Building effective communication and collaboration. Open Access Research Journal of Multidisciplinary Studies, 8(1), 057-067. https://doi.org/10.53022/oarjms.2024.8.1.0045
[31] Chukwurah, N., Ige, A. B., Idemudia, C., & Eyieyien, O. G. (2024). Integrating agile methodologies into data governance: Achieving flexibility and control simultaneously. Open Access Research Journal of Multidisciplinary Studies, 8(1), 045-056. https://doi.org/10.53022/oarjms.2024.8.1.0044
[32] Clarke, R. A., & Knake, R. K. (2019). The Fifth Domain: Defending our country, our companies, and ourselves in the age of cyber threats. Penguin.
[33] Clemente, J. F. (2018). Cyber security for critical energy infrastructure (Doctoral dissertation, Monterey, CA; Naval Postgraduate School).
[34] Cohen, S. A. (2019). Cybersecurity for critical infrastructure: addressing threats and vulnerabilities in Canada.
[35] Dalal, A., Abdul, S., & Mahjabeen, F. (2016). Leveraging Artificial Intelligence for Cyber Threat Intelligence: Perspectives from the US, Canada, and Japan. Revista de Inteligencia Artificial en Medicina, 7(1), 18-28.
[36] Djenna, A., Harous, S., & Saidouni, D. E. (2021). Internet of things meet internet of threats: New concern cyber security issues of critical cyber infrastructure. Applied Sciences, 11(10), 4580.
[37] Dupont, B. (2019). The cyber-resilience of financial institutions: significance and applicability. Journal of cybersecurity, 5(1), tyz013.
[38] Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., ... & Upadhyay, N. (2020). Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life. International journal of information management, 55, 102211.
[39] Elujide, I., Fashoto, S. G., Fashoto, B., Mbunge, E., Folorunso, S. O., & Olamijuwon, J. O. (2021). Application of deep and machine learning techniques for multi-label classification performance on psychotic disorder diseases. Informatics in Medicine Unlocked, 23, 100545.
[40] Elujide, I., Fashoto, S. G., Fashoto, B., Mbunge, E., Folorunso, S. O., & Olamijuwon, J. O. (2021). Informatics in Medicine Unlocked.
[41] Feng, Y. (2019). The future of China’s personal data protection law: challenges and prospects. Asia Pacific Law Review, 27(1), 62-82.
[42] Folorunso, A. (2024). Assessment of Internet Safety, Cybersecurity Awareness and Risks in Technology Environment among College Students. Cybersecurity Awareness and Risks in Technology Environment among College Students (July 01, 2024).
[43] Folorunso, A. (2024). Cybersecurity And Its Global Applicability to Decision Making: A Comprehensive Approach in The University System. Available at SSRN 4955601.
[44] Folorunso, A. (2024). Information Security Management Systems (ISMS) on patient information protection within the healthcare industry in Oyo, Nigeria. Nigeria (April 12, 2024).
[45] Folorunso, A., Adewumi, T., Adewa, A., Okonkwo, R., & Olawumi, T. N. (2024). Impact of AI on cybersecurity and security compliance. Global Journal of Engineering and Technology Advances, 21(01), 167-184.
[46] Folorunso, A., Mohammed, V., Wada, I., & Samuel, B. (2024). The impact of ISO security standards on enhancing cybersecurity posture in organizations. World Journal of Advanced Research and Reviews, 24(1), 2582-2595.
[47] Folorunso, A., Nwatu Olufunbi Babalola, C. E., Adedoyin, A., & Ogundipe, F. (2024). Policy framework for cloud computing: AI, governance, compliance, and management. Global Journal of Engineering and Technology Advances
[48] Folorunso, A., Olanipekun, K., Adewumi, T., & Samuel, B. (2024). A policy framework on AI usage in developing countries and its impact. Global Journal of Engineering and Technology Advances, 21(01), 154-166.
[49] Folorunso, A., Wada, I., Samuel, B., & Mohammed, V. (2024). Security compliance and its implication for cybersecurity.
[50] George, E. P., Idemudia, C., & Ige, A. B. (2024). Blockchain technology in financial services: Enhancing security, transparency, and efficiency in transactions and services. Open Access Research Journal of Multidisciplinary Studies, 8(1), 026–035. https://doi.org/10.53022/oarjms.2024.8.1.0042
[51] George, E. P., Idemudia, C., & Ige, A. B. (2024). Predictive analytics for financial compliance: Machine learning concepts for fraudulent transaction identification. Open Access Research Journal of Multidisciplinary Studies, 8(1), 015–025. https://doi.org/10.53022/oarjms.2024.8.1.0041
[52] George, E. P., Idemudia, C., & Ige, A. B. (2024). Recent advances in implementing machine learning algorithms to detect and prevent financial fraud in real-time. International Journal of Engineering Research and Development, 20(7).
[53] George, E. P., Idemudia, C., & Ige, A. B. (2024). Strategic process improvement and error mitigation: Enhancing business operational efficiency. International Journal of Engineering Research and Development, 20(7).
[54] Georgiadou, A., Mouzakitis, S., & Askounis, D. (2021). Assessing mitre att&ck risk using a cyber-security culture framework. Sensors, 21(9), 3267.
[55] Hussain, N. Y., Austin-Gabriel, B., Ige, A. B., Adepoju, P. A., & Afolabi, A. I. (2023). Generative AI advances for data-driven insights in IoT, cloud technologies, and big data challenges. Open Access Research Journal of Multidisciplinary Studies. https://doi.org/10.53022/oarjms.2023.6.1.0040
[56] Hussain, N. Y., Austin-Gabriel, B., Ige, A. B., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I. (2021). AI-driven predictive analytics for proactive security and optimization in critical infrastructure systems. Open Access Research Journal of Science and Technology. https://doi.org/10.53022/oarjst.2021.2.2.0059
[57] Idemudia, C., Ige, A. B., Adebayo, V. I., & Eyieyien, O. G. (2024). Enhancing data quality through comprehensive governance: Methodologies, tools, and continuous improvement techniques. Computer Science & IT Research Journal, 5(7), 1680-1694. https://doi.org/10.51594/csitrj.v5i7.1352
[58] Ige, A. B., Austin-Gabriel, B., Hussain, N. Y., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I. (2022). Developing multimodal AI systems for comprehensive threat detection and geospatial risk mitigation. Open Access Research Journal of Science and Technology, 6(1), 63. https://doi.org/10.53022/oarjst.2022.6.1.0063
[59] Ige, A. B., Chukwurah, N., Idemudia, C., & Adebayo, V. I. (2024). Managing data lifecycle effectively: Best practices for data retention and archival processes. International Journal of Engineering Research and Development, 20(7), 453–461.
[60] Ige, A. B., Kupa, E., & Ilori, O. (2024). Aligning sustainable development goals with cybersecurity strategies: Ensuring a secure and sustainable future. GSC Advanced Research and Reviews, 19(3), 344–360. https://doi.org/10.30574/gscarr.2024.19.3.0236
[61] Ige, A. B., Kupa, E., & Ilori, O. (2024). Analyzing defense strategies against cyber risks in the energy sector: Enhancing the security of renewable energy sources. International Journal of Science and Research Archive, 12(1), 2978–2995. https://doi.org/10.30574/ijsra.2024.12.1.1186
[62] Ige, A. B., Kupa, E., & Ilori, O. (2024). Analyzing defense strategies against cyber risks in the energy sector: Enhancing the security of renewable energy sources. International Journal of Science and Research Archive, 12(1), 2978-2995.
[63] Ige, A. B., Kupa, E., & Ilori, O. (2024). Best practices in cybersecurity for green building management systems: Protecting sustainable infrastructure from cyber threats. International Journal of Science and Research Archive, 12(1), 2960–2977. https://doi.org/10.30574/ijsra.2024.12.1.1185
[64] Ige, A. B., Kupa, E., & Ilori, O. (2024). Developing comprehensive cybersecurity frameworks for protecting green infrastructure: Conceptual models and practical applications. GSC Advanced Research and Reviews, 20(1), 025–041. https://doi.org/10.30574/gscarr.2024.20.1.0237
[65] Igo, S. E. (2020). The known citizen: A history of privacy in modern America. Harvard University Press.
[66] Ike, C. C., Ige, A. B., Oladosu, S. A., Adepoju, P. A., & Afolabi, A. I. (2023). Advancing machine learning frameworks for customer retention and propensity modeling in e-commerce platforms. GSC Advanced Research and Reviews. https://doi.org/10.30574/gscarr.2023.14.2.0017
[67] Ike, C. C., Ige, A. B., Oladosu, S. A., Adepoju, P. A., & Afolabi, A. I. (2024). Advancing real-time decision-making frameworks using interactive dashboards for crisis and emergency management. International Journal of Management & Entrepreneurship Research. https://doi.org/10.51594/ijmer.v6i12.1762
[68] Ike, C. C., Ige, A. B., Oladosu, S. A., Adepoju, P. A., & Afolabi, A. I. (2024). Advancing predictive analytics models for supply chain optimization in global trade systems. International Journal of Applied Research in Social Sciences. https://doi.org/10.51594/ijarss.v6i12.1769
[69] Ike, C. C., Ige, A. B., Oladosu, S. A., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I. (2021). Redefining zero trust architecture in cloud networks: A conceptual shift towards granular, dynamic access control and policy enforcement. Magna Scientia Advanced Research and Reviews, 2(1), 074–086. https://doi.org/10.30574/msarr.2021.2.1.0032
[70] Jathanna, R., & Jagli, D. (2017). Cloud computing and security issues. International Journal of Engineering Research and Applications, 7(6), 31-38.
[71] Johnson, O. B., Olamijuwon, J., Cadet, E., Osundare, O. S., & Ekpobimi, H. O. (2024). Building a microservices architecture model for enhanced software delivery, business continuity and operational efficiency. International Journal of Frontiers in Engineering and Technology Research, 7(2), 070-081. https://doi.org/10.53294/ijfetr.2024.7.2.0050
[72] Johnson, O. B., Olamijuwon, J., Cadet, E., Osundare, O. S., & Ekpobimi, H. O. (2024). Optimizing predictive trade models through advanced algorithm development for cost-efficient infrastructure. International Journal of Engineering Research and Development, 20(11), 1305-1313.
[73] Johnson, O. B., Olamijuwon, J., Cadet, E., Osundare, O. S., & Weldegeorgise, Y. W. (2024). Developing real-time monitoring models to enhance operational support and improve incident response times. International Journal of Engineering Research and Development, 20(11), 1296-1304.
[74] Johnson, O. B., Olamijuwon, J., Cadet, E., Samira, Z., & Ekpobimi, H. O. (2024). Developing an integrated DevOps and serverless architecture model for transforming the software development lifecycle. International Journal of Engineering Research and Development, 20(11), 1314-1323.
[75] Johnson, O. B., Olamijuwon, J., Cadet, E., Weldegeorgise, Y. W., & Ekpobimi, H. O. (2024). Developing a leadership and investment prioritization model for managing high-impact global cloud solutions. Engineering Science & Technology Journal, 5(12), 3232-3247. https://doi.org/10.51594/estj.v5i12.1755
[76] Johnson, O. B., Olamijuwon, J., Samira, Z., Osundare, O. S., & Ekpobimi, H. O. (2024). Developing advanced CI/CD pipeline models for Java and Python applications: A blueprint for accelerated release cycles. Computer Science & IT Research Journal, 5(12), 2645-2663. https://doi.org/10.51594/csitrj.v5i12.1758
[77] Johnson, O. B., Olamijuwon, J., Weldegeorgise, Y. W., Osundare, O. S., & Ekpobimi, H. O. (2024). Designing a comprehensive cloud migration framework for high-revenue financial services: A case study on efficiency and cost management. Open Access Research Journal of Science and Technology, 12(2), 058-069. https://doi.org/10.53022/oarjst.2024.12.2.0141
[78] Johnson, O. B., Samira, Z., Cadet, E., Osundare, O. S., & Ekpobimi, H. O. (2024). Creating a scalable containerization model for enhanced software engineering in enterprise environments. Global Journal of Engineering and Technology Advances, 21(2), 139-150. https://doi.org/10.30574/gjeta.2024.21.2.0220
[79] Johnson, O. B., Weldegeorgise, Y. W., Cadet, E., Osundare, O. S., & Ekpobimi, H. O. (2024). Developing advanced predictive modeling techniques for optimizing business operations and reducing costs. Computer Science & IT Research Journal, 5(12), 2627-2644. https://doi.org/10.51594/csitrj.v5i12.1757
[80] Kovacevic, A., & Nikolic, D. (2015). Cyber attacks on critical infrastructure: Review and challenges. Handbook of research on digital crime, cyberspace security, and information assurance, 1-18.
[81] Lehto, M. (2022). Cyber-attacks against critical infrastructure. In Cyber security: Critical infrastructure protection (pp. 3-42). Cham: Springer International Publishing.
[82] Medcalfe, D. (2024). Critical Infrastructure in the Face of Global Cyber Threats.
[83] Michael, K., Kobran, S., Abbas, R., & Hamdoun, S. (2019, November). Privacy, data rights and cybersecurity: Technology for good in the achievement of sustainable development goals. In 2019 IEEE International Symposium on Technology and Society (ISTAS) (pp. 1-13). IEEE.
[84] Mishra, A., Alzoubi, Y. I., Anwar, M. J., & Gill, A. Q. (2022). Attributes impacting cybersecurity policy development: An evidence from seven nations. Computers & Security, 120, 102820.
[85] Newlands, G., Lutz, C., Tamò-Larrieux, A., Villaronga, E. F., Harasgama, R., & Scheitlin, G. (2020). Innovation under pressure: Implications for data privacy during the Covid-19 pandemic. Big Data & Society, 7(2), 2053951720976680.
[86] Nwatu, C. E., Folorunso, A. A., & Babalola, O. (2024, November 30). A comprehensive model for ensuring data compliance in cloud computing environment. World Journal of Advanced Research
[87] Ofoegbu, K. D. O., Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Data-driven cyber threat intelligence: Leveraging behavioral analytics for proactive defense mechanisms. Computer Science & IT Research Journal, 4(3), 502-524. https://doi.org/10.51594/csitrj.v4i3.1501
[88] Ofoegbu, K. D. O., Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Real-time cybersecurity threat detection using machine learning and big data analytics: A comprehensive approach. Computer Science & IT Research Journal, 4(3), 478-501. https://doi.org/10.51594/csitrj.v4i3.1500
[89] Ofoegbu, K. D. O., Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Proactive cyber threat mitigation: Integrating data-driven insights with user-centric security protocols. Computer Science & IT Research Journal, 5(8), 2083-2106. https://doi.org/10.51594/csitrj.v5i8.1493
[90] Ofoegbu, K. D. O., Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Empowering users through AI-driven cybersecurity solutions: Enhancing awareness and response capabilities. Engineering Science & Technology Journal, 4(6), 707-727. https://doi.org/10.51594/estj.v4i6.1528
[91] Ofoegbu, K. D. O., Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Enhancing cybersecurity resilience through real-time data analytics and user empowerment strategies. Engineering Science & Technology Journal, 4(6), 689-706. https://doi.org/10.51594/estj.v4i6.1527
[92] Ojukwu, P. U., Cadet, E., Osundare, O. S., Fakeyede, O. G., Ige, A. B., & Uzoka, A. (2024). The crucial role of education in fostering sustainability awareness and promoting cybersecurity measures. International Journal of Frontline Research in Science and Technology, 4(1), 018-034. https://doi.org/10.56355/ijfrst.2024.4.1.0050
[93] Ojukwu, P. U., Cadet, E., Osundare, O. S., Fakeyede, O. G., Ige, A. B., & Uzoka, A. (2024). Exploring theoretical constructs of blockchain technology in banking: Applications in African and U.S. financial institutions. International Journal of Frontline Research in Science and Technology, 4(1), 035-042. https://doi.org/10.56355/ijfrst.2024.4.1.0051
[94] Ojukwu, P. U., Cadet, E., Osundare, O. S., Fakeyede, O. G., Ige, A. B., & Uzoka, A. (2024). Advancing green bonds through fintech innovations: A conceptual insight into opportunities and challenges. International Journal of Engineering Research and Development, 20(11), 565-576.
[95] Oladosu, S. A., Ige, A. B., Ike, C. C., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I. (2023). AI-driven security for next-generation data centers: Conceptualizing autonomous threat detection and response in cloud-connected environments. GSC Advanced Research and Reviews, 15(2), 162-172. https://doi.org/10.30574/gscarr.2023.15.2.0136
[96] Oladosu, S. A., Ige, A. B., Ike, C. C., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I. (2022). Next-generation network security: Conceptualizing a unified, AI-powered security architecture for cloud-native and on-premise environments. International Journal of Science and Technology Research Archive, 3(2), 270-280. https://doi.org/10.53771/ijstra.2022.3.2.0143
[97] Oladosu, S. A., Ige, A. B., Ike, C. C., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I. (2022). Revolutionizing data center security: Conceptualizing a unified security framework for hybrid and multi-cloud data centers. Open Access Research Journal of Science and Technology. https://doi.org/10.53022/oarjst.2022.5.2.0065
[98] Oladosu, S. A., Ige, A. B., Ike, C. C., Adepoju, P. A., Amoo, O. O., & Afolabi, A. I. (2022). Reimagining multi-cloud interoperability: A conceptual framework for seamless integration and security across cloud platforms. Open Access Research Journal of Science and Technology. https://doi.org/10.53022/oarjst.2022.4.1.0026
[99] Oladosu, S. A., Ike, C. C., Adepoju, P. A., Afolabi, A. I., Ige, A. B., & Amoo, O. O. (2024). Frameworks for ethical data governance in machine learning: Privacy, fairness, and business optimization. Magna Scientia Advanced Research and Reviews. https://doi.org/10.30574/msarr.2023.7.2.0043
[100] Oladosu, S. A., Ike, C. C., Adepoju, P. A., Afolabi, A. I., Ige, A. B., & Amoo, O. O. (2021). The future of SD-WAN: A conceptual evolution from traditional WAN to autonomous, self-healing network systems. Magna Scientia Advanced Research and Reviews. https://doi.org/10.30574/msarr.2021.3.2.0086
[101] Oladosu, S. A., Ike, C. C., Adepoju, P. A., Afolabi, A. I., Ige, A. B., & Amoo, O. O. (2021). Advancing cloud networking security models: Conceptualizing a unified framework for hybrid cloud and on-premises integrations. Magna Scientia Advanced Research and Reviews. https://doi.org/10.30574/msarr.2021.3.1.0076
[102] Onoja, J. P., & Ajala, O. A. (2022). Innovative telecommunications strategies for bridging digital inequities: A framework for empowering underserved communities. GSC Advanced Research and Reviews, 13(01), 210–217. https://doi.org/10.30574/gscarr.2022.13.1.0286
[103] Onoja, J. P., & Ajala, O. A. (2023). AI-driven project optimization: A strategic framework for accelerating sustainable development outcomes. GSC Advanced Research and Reviews, 15(01), 158–165. https://doi.org/10.30574/gscarr.2023.15.1.0118
[104] Onoja, J. P., & Ajala, O. A. (2024). Synergizing AI and telecommunications for global development: A framework for achieving scalable and sustainable development. Computer Science & IT Research Journal, 5(12), 2703-2714. https://doi.org/10.51594/csitrj.v5i12.1776
[105] Onoja, J. P., Ajala, O. A., & Ige, A. B. (2022). Harnessing artificial intelligence for transformative community development: A comprehensive framework for enhancing engagement and impact. GSC Advanced Research and Reviews, 11(03), 158–166. https://doi.org/10.30574/gscarr.2022.11.3.0154
[106] Onoja, J. P., Ajala, O. A., & Ige, A. B. (2022). Harnessing artificial intelligence for transformative community development: A comprehensive framework for enhancing engagement and impact. GSC Advanced Research and Reviews. https://doi.org/10.30574/gscarr.2022.11.3.0154
[107] Osundare, O. S., & Ige, A. B. (2024). Accelerating fintech optimization and cybersecurity: The role of segment routing and MPLS in service provider networks. Engineering Science & Technology Journal, 5(8), 2454-2465. https://doi.org/10.51594/estj.v5i8.1393
[108] Osundare, O. S., & Ige, A. B. (2024). Advancing network security in fintech: Implementing IPSEC VPN and Cisco Firepower in financial systems. International Journal of Scholarly Research in Science and Technology, 5(1), 026-034. https://doi.org/10.56781/ijsrst.2024.5.1.0031
[109] Osundare, O. S., & Ige, A. B. (2024). Developing a robust security framework for inter-bank data transfer systems in the financial service sector. International Journal of Scholarly Research in Science and Technology, 5(1), 009-017. https://doi.org/10.56781/ijsrst.2024.5.1.0029
[110] Osundare, O. S., & Ige, A. B. (2024). Optimizing network performance in large financial enterprises using BGP and VRF lite. International Journal of Scholarly Research in Science and Technology, 5(1), 018-025. https://doi.org/10.56781/ijsrst.2024.5.1.0030
[111] Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). The role of targeted training in IT and business operations: A multi-industry review. International Journal of Management & Entrepreneurship Research, 5(12), 1184-1203. https://doi.org/10.51594/ijmer.v5i12.1474
[112] Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Application of machine learning in detecting fraud in telecommunication-based financial transactions. Computer Science & IT Research Journal, 4(3), 458-477. https://doi.org/10.51594/csitrj.v4i3.1499
[113] Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Evaluating core router technology upgrades: Case studies from telecommunications and finance. Computer Science & IT Research Journal, 4(3), 416-435. https://doi.org/10.51594/csitrj.v4i3.1497
[114] Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Active/Active data center strategies for financial services: Balancing high availability with security. Computer Science & IT Research Journal, 3(3), 92-114. https://doi.org/10.51594/csitrj.v3i3.1494
[115] Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Secure communication protocols for real-time interbank settlements. Computer Science & IT Research Journal, 4(3), 436-457. https://doi.org/10.51594/csitrj.v4i3.1498
[116] Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Centralized network systems in fintech: A comparative global review. Engineering Science & Technology Journal, 3(2), 113-135. https://doi.org/10.51594/estj.v3i2.1521
[117] Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Resilience and recovery technologies in financial telecommunications networks. Engineering Science & Technology Journal, 3(2), 136-153. https://doi.org/10.51594/estj.v3i2.1522
[118] Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). IPv6 implementation strategies: Insights from the telecommunication and finance sectors. Engineering Science & Technology Journal, 4(6), 672-688. https://doi.org/10.51594/estj.v4i6.1526
[119] Osundare, O. S., Ike, C. S., Fakeyede, O. G., & Ige, A. B. (2024). Blockchain and quantum cryptography: Future of secure telecommunications in banking. Engineering Science & Technology Journal, 3(2), 154-171. https://doi.org/10.51594/estj.v3i2.1523
[120] Parraguez-Kobek, L., Stockton, P., & Houle, G. (2022). Cybersecurity and Critical Infrastructure Resilience in North America. Forging a Continental Future, 217.
[121] Pomerleau, P. L. (2019). Countering the Cyber Threats Against Financial Institutions in Canada: A Qualitative Study of a Private and Public Partnership Approach to Critical Infrastructure Protection. Order, (27540959).
[122] Riggs, H., Tufail, S., Parvez, I., Tariq, M., Khan, M. A., Amir, A., ... & Sarwat, A. I. (2023). Impact, vulnerabilities, and mitigation strategies for cyber-secure critical infrastructure. Sensors, 23(8), 4060.
[123] Sabillon, R., Cavaller, V., & Cano, J. (2016). National cyber security strategies: global trends in cyberspace. International Journal of Computer Science and Software Engineering, 5(5), 67.
[124] Safitra, M. F., Lubis, M., & Fakhrurroja, H. (2023). Counterattacking cyber threats: A framework for the future of cybersecurity. Sustainability, 15(18), 13369.
[125] Shafqat, N., & Masood, A. (2016). Comparative analysis of various national cyber security strategies. International Journal of Computer Science and Information Security, 14(1), 129-136.
[126] Shameli-Sendi, A., Aghababaei-Barzegar, R., & Cheriet, M. (2016). Taxonomy of information security risk assessment (ISRA). Computers & security, 57, 14-30.
[127] Singh, K. (2023). Artificial Intelligence & Cloud in Healthcare: Analyzing Challenges and Solutions Within Regulatory Boundaries. SSRG International Journal of Computer Science and Engineering, 10(9), 1-9.
[128] Ukonne, A., Folorunso, A., Babalola, O., & Nwatu, C. E. (2024). Compliance and governance issues in cloud computing and AI: USA and Africa. Global Journal of Engineering and Technology Advances
[129] Ukwandu, E., Ben-Farah, M. A., Hindy, H., Bures, M., Atkinson, R., Tachtatzis, C., ... & Bellekens, X. (2022). Cyber-security challenges in aviation industry: A review of current and future trends. Information, 13(3), 146.
[130] Voss, W. G., & Houser, K. A. (2019). Personal data and the GDPR: providing a competitive advantage for US companies. American Business Law Journal, 56(2), 287-344.
[131] Yanamala, A. K. Y., & Suryadevara, S. (2024). Navigating data protection challenges in the era of artificial intelligence: A comprehensive review. Revista de Inteligencia Artificial en Medicina, 15(1), 113-146.
[132] Yang, C., Huang, Q., Li, Z., Liu, K., & Hu, F. (2017). Big Data and cloud computing: innovation opportunities and challenges. International Journal of Digital Earth, 10(1), 13-53.
How to cite this paper
@article{1706123,
author = {Gideon Opeyemi Babatunde, Sikirat Damilola Mustapha, Christian Chukwuemeka Ike, Abidemi Adeleye Alabi},
title = {A Cloud Security Compliance Framework to Tackle Emerging Data Protection Issues in U.S. and Canada},
journal = {Iconic Research And Engineering Journals},
year = {2024},
volume = {8},
number = {2},
pages = {985-1006},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1706123.pdf},
abstract = {As businesses in the U.S. and Canada increasingly adopt cloud computing technologies, ensuring robust cloud security and compliance with data protection regulations has become paramount. This study presents a comprehensive Cloud Security Compliance Framework designed to address emerging data protection challenges, particularly in the context of evolving regulatory landscapes in North America. The framework aims to simplify compliance management while ensuring the protection of sensitive data against evolving cyber threats, data breaches, and regulatory violations. The framework integrates key security principles, such as data encryption, access controls, and threat detection, with a structured approach to regulatory compliance. By aligning with both U.S. and Canadian data protection laws, including the General Data Protection Regulation (GDPR)-influenced frameworks in Canada and the California Consumer Privacy Act (CCPA) in the U.S., the model ensures a cohesive approach to multi-jurisdictional compliance. It provides actionable guidelines for businesses to comply with industry standards such as ISO/IEC 27001 and NIST cybersecurity frameworks. Key components of the Cloud Security Compliance Framework include risk assessment processes, data classification schemes, audit trails, and continuous monitoring mechanisms. By leveraging automated tools, the framework offers businesses a scalable, efficient method for tracking compliance requirements, managing security risks, and ensuring that cloud services adhere to regulatory mandates. It also incorporates incident response protocols to swiftly address security breaches and mitigate potential data loss or exposure. Pilot implementations of the framework across various sectors?such as healthcare, finance, and retail?demonstrate its effectiveness in reducing data protection vulnerabilities and enhancing stakeholder trust. The study highlights the importance of proactive security measures and compliance strategies to mitigate emerging risks and future-proof cloud deployments. This research contributes to the field by offering a robust, adaptable compliance framework that enables businesses in the U.S. and Canada to navigate the complexities of cloud security, ensuring the privacy and protection of sensitive data while meeting regulatory expectations.},
keywords = {Cloud Security, Data Protection, Compliance Framework, U.S. and Canada, Cybersecurity, Data Encryption, Regulatory Compliance, GDPR, CCPA, Risk Assessment.},
month = {August},
}