Blockchain-Integrated Software Bill of Materials (SBOM) for Real-Time Vulnerability Detection in Decentralized Package Repositories

Authors

  • Bamidele Samuel Adelusi Independent Researcher, Texas, USA Author
  • Abel Chukwuemeke Uzoka United Parcel Service, Inc.(UPS), Parsippany, New Jersey, USA Author
  • Yewande Goodness Hassan Casava MicroInsurance Ltd, Nigeria Author
  • Favour Uche Ojika Independent Researcher, Minnesota, USA Author

DOI:

https://doi.org/10.32628/IJSRCE

Keywords:

Blockchain, Software Bill of Materials (SBOM), Real-Time Vulnerability Detection, Decentralized Repositories, Software Supply Chain Security

Abstract

As the software supply chain becomes increasingly decentralized, ensuring the integrity and security of software components has become a critical priority. This paper presents a blockchain-integrated Software Bill of Materials (SBOM) framework designed to facilitate real-time vulnerability detection across decentralized package repositories. By leveraging blockchain’s immutable ledger and decentralized consensus mechanisms, the proposed solution enhances transparency, automates component verification, and provides a tamper-resistant audit trail for all software artifacts. The architecture incorporates smart contracts to enable automatic alerts for security vulnerabilities, expired components, and compliance violations based on real-time threat intelligence and CVE databases. A layered design approach is employed, incorporating system modeling, integration strategies, and a performance assessment conducted through simulation of real-world distributed repositories. Evaluation metrics include latency reduction, detection accuracy, and scalability under distributed workloads. This framework aligns with emerging software supply chain security mandates, including SBOM adoption in accordance with global cybersecurity policies. By synthesizing contributions from over 80 peer-reviewed studies between 2019 and 2023, the paper offers a comprehensive and future-proof strategy for enhancing the trustworthiness of software ecosystems in decentralized environments.

Downloads

Download data is not yet available.

References

Abisoye, A., &Akerele, J. I. (2020). A data-driven approach to strengthening cybersecurity policies in government agencies: Best practices and case studies. International Journal of Cybersecurity and Policy Studies.

Adaga, E. M., Okorie, G. N., Egieya, Z. E., Ikwue, U., Udeh, C. A., DaraOjimba, D. O., & Oriekhoe, O. I. (2023). The role of big data in business strategy: A critical review. Computer Science & IT Research Journal, 4(3), 327-350.

Adekunle, B. I., Chukwuma-Eke, E. C., Balogun, E. D., &Ogunsola, K. O. (2023). Integrating AI-driven risk assessment frameworks in financial operations: A model for enhanced corporate governance. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 9(6), 445–464.

Adekunle, B. I., Chukwuma-Eke, E. C., Balogun, E. D., &Ogunsola, K. O. (2023). Developing a digital operations dashboard for real-time financial compliance monitoring in multinational corporations. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 9(3), 728–746.

Adewale, T. T., Olorunyomi, T. D., &Odonkor, T. N. (2019). Blockchain-enhanced financial transparency: A conceptual approach to reporting and compliance. Int J Front SciTechnol Res, 2(1), 24–45.

Adewale, T. T., Olorunyomi, T. D., &Odonkor, T. N. (2023). Big data-driven financial analysis: A new paradigm for strategic insights and decision-making.

Adewoyin, M. A. (2022). Advances in risk-based inspection technologies: Mitigating asset integrity challenges in aging oil and gas infrastructure.

ADIKWU, F. E., OZOBU, C. O., ODUJOBI, O., ONYEKWE, F. O., & NWULU, E. O. (2023). Advances in EHS Compliance: A Conceptual Model for Standardizing Health, Safety, and Hygiene Programs Across Multinational Corporations.

Ajayi, A., & Akerele, J. I. (2022). A practical framework for advancing cybersecurity, artificial intelligence, and technological ecosystems to support regional economic development and innovation. International Journal of Multidisciplinary Research and Growth Evaluation, 3(1), 700–713.

Ajiga, D., Ayanponle, L., & Okatta, C. G. (2022). AI-powered HR analytics: Transforming workforce optimization and decision-making. International Journal of Science and Research Archive, 5(2), 338-346.

Akintobi, A. O., Okeke, I. C., & Ajani, O. B. (2022). Advancing economic growth through enhanced tax compliance and revenue generation: Leveraging data analytics and strategic policy reforms. International Journal of Frontline Research in Multidisciplinary Studies, 1(2), 085-093.

Akintobi, A. O., Okeke, I. C., & Ajani, O. B. (2023). Innovative solutions for tackling tax evasion and fraud: Harnessing blockchain technology and artificial intelligence for transparency. Int J Tax Policy Res, 2(1), 45-59.

Akintobi, A. O., Okeke, I. C., & Ajani, O. B. (2023). Strategic tax planning for multinational corporations: Developing holistic approaches to achieve compliance and profit optimization. International Journal of Multidisciplinary Research Updates, 6(1), 25–32.

Akpe, O. E. E., Kisina, D., Adanigbo, O. S., Uzoka, A. C., Ochuba, N. A., & Gbenle, T. P. (2023). A conceptual framework for building cost-conscious CI/CD workflows in agile software teams. International Journal of Management and Organizational Research, 2(2), 135–142. https://doi.org/10.54660/IJMOR.2023.2.2.135-142

Aniebonam, E. E., Chukwuba, K., Emeka, N., & Taylor, G. (2023). Transformational leadership and transactional leadership styles: systematic review of literature. International Journal of Applied Research, 9(1), 07-15.

Basiru, J. O., Ejiofor, C. L., & Ekene Cynthia Onukwulu & Attah, R. U. (2023). Enhancing financial reporting systems: A conceptual framework for integrating data analytics in business decision-making. IRE Journals,[online], 7(4), 587-606.

Basiru, J. O., Ejiofor, C. L., Onukwulu, E. C., & Attah, R. U. (2023). The impact of contract negotiations on supplier relationships: A review of key theories and frameworks for organizational efficiency. Int J Multidiscip Res Growth Eval, 4(1), 788-802.

Bristol-Alagbariya, B., Ayanponle, O. L., & Ogedengbe, D. E. (2023). Utilization of HR analytics for strategic cost optimization and decision making. International Journal of Scientific Research Updates, 6(2), 62-69.

Bristol-Alagbariya, B., Ayanponle, O. L., & Ogedengbe, D. E. (2022). Integrative HR approaches in mergers and acquisitions ensuring seamless organizational synergies. Magna Scientia Advanced Research and Reviews, 6(1), 78-85.

Bristol-Alagbariya, B., Ayanponle, O. L., & Ogedengbe, D. E. (2022). Strategic frameworks for contract management excellence in global energy HR operations. GSC Advanced Research and Reviews, 11(3), 150-157.

Chukwuma-Eke, E. C., Ogunsola, O. Y., & Isibor, N. J. (2022). A conceptual approach to cost forecasting and financial planning in complex oil and gas projects. International Journal of Multidisciplinary Research and Growth Evaluation, 3(1), 819-833.

Chukwuma-Eke, E. C., Ogunsola, O. Y., & Isibor, N. J. (2022). Developing an integrated framework for SAP-based cost control and financial reporting in energy companies. International Journal of Multidisciplinary Research and Growth Evaluation, 3(1), 805-818.

Chukwuma-Eke, E. C., Ogunsola, O. Y., &Isibor, N. J. (2020). Developing a conceptual framework for enhancing interbank currency operation accuracy in Nigeria's banking sector. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), 481–494.

Crawford, T., Duong, S., Fueston, R., Lawani, A., Owoade, S., Uzoka, A., ... & Yazdinejad, A. (2023). AI in software engineering: a survey on project management applications. arXiv preprint arXiv:2307.15224.

Daramola, O. M., Apeh, C., Basiru, J., Onukwulu, E. C., & Paul, P. (2023). Optimizing reserve logistics for circular economy: Strategies for efficient material recovery. Int J Soc Sci Except Res [Internet], 2(1), 16-31.

Egbuhuzor, N. S., Ajayi, A. J., Akhigbe, E. E., Ewim, C. P. M., Ajiga, D. I., &Agbede, O. O. (2023). Artificial intelligence in predictive flow management: Transforming logistics and supply chain operations. International Journal of Management and Organizational Research, 2(1), 48–63.

Ezeafulukwe, C., Okatta, C. G., & Ayanponle, L. (2022). Frameworks for sustainable human resource management: Integrating ethics, CSR, and Data-Driven Insights.

Ezeh, M. O., Daramola, G. O., Isong, D. E., Agho, M. O., & Iwe, K. A. (2023). Commercializing the future: Strategies for sustainable growth in the upstream oil and gas sector.

Ezeife, E., Kokogho, E., Odio, P. E., &Adeyanju, M. O. (2021). The future of tax technology in the United States: A conceptual framework for AI-driven tax transformation. Future, 2(1).

Fiemotongha, J. E., Igwe, A. N., Ewim, C. P. M., & Onukwulu, E. C. (2023). Innovative trading strategies for optimizing profitability and reducing risk in global oil and gas markets. Journal of Advance Multidisciplinary Research, 2(1), 48-65.

Ilori, O., Lawal, C. I., Friday, S. C., Isibor, N. J., & Chukwuma-Eke, E. C. (2022). Cybersecurity Auditing in the Digital Age: A Review of Methodologies and Regulatory Implications.

Isibor, N. J., Ibeh, A. I., Ewim, C. P. M., Sam-Bulya, N. J., & Martha, E. (2022). A Financial Control and Performance Management Framework for SMEs: Strengthening Budgeting, Risk Mitigation, and Profitability. International Journal of Multidisciplinary Research and Growth Evaluation, 3(1), 761-768.

Isong, D. E., Daramola, G. O., Ezeh, M. O., Agho, M. O., & Iwe, K. A. (2023). Sustainability and carbon capture in the energy sector: A holistic framework for environmental innovation.

Iwe, K. A., Daramola, G. O., Isong, D. E., Agho, M. O., & Ezeh, M. O. (2023). Real-time monitoring and risk management in geothermal energy production: ensuring safe and efficient operations. Journal Name Missing.

Kisina, D., Akpe, O. E. E., Owoade, S., Ubanadu, B. C., Gbenle, T. P., &Adanigbo, O. S. (2022). Advances in continuous integration and deployment workflows across multi-team development pipelines. International Journal of Multidisciplinary Research and Growth Evaluation, 2(1), 990–994.

Kokogho, E., Adeniji, I. E., Olorunfemi, T. A., Nwaozomudoh, M. O., Odio, P. E., & Sobowale, A. (2023). Framework for effective risk management strategies to mitigate financial fraud in Nigeria's currency operations. International Journal of Management and Organizational Research, 2(6), 209-222.

Komi, L. S., Mustapha, A. Y., Forkuo, A. Y., & Osamika, D. (2023). Assessing the impact of digital health records on rural clinic efficiency in Nigeria. GABR Journal of Advanced Health Informatics, 3(2), 98–104.

Komi, L. S., Mustapha, A. Y., Forkuo, A. Y., & Osamika, D. (2023). Exploring the socio-economic implications of health data privacy violations in low-income communities. Computer Science and IT Research Journal, 12(6), 85–93.

Ogunwole, O., Onukwulu, E. C., Joel, M. O., Adaga, E. M., & Ibeh, A. I. (2023). Modernizing legacy systems: A scalable approach to next-generation data architectures and seamless integration. International Journal of Multidisciplinary Research and Growth Evaluation, 4(1), 901-909.

Ogunwole, O., Onukwulu, E. C., Joel, M. O., Ibeh, A. I., & Ewin, C. P. M. (2023). Advanced data governance strategies: Ensuring compliance, security, and quality at enterprise scale. International Journal of Social Science Exceptional Research, 2(1), 156-163.

Ojadi, J. O., Onukwulu, E., Odionu, C., & Owulade, O. (2023). Leveraging IoT and deep learning for real-time carbon footprint monitoring and optimization in smart cities and industrial zones. IRE Journals, 6(11), 946-964.

Ojika, F. U., Owobu, W. O., Abieba, O. A., Esan, O. J., Ubamadu, B. C., &Daraojimba, A. I. (2021). A Conceptual Framework for AI-Driven Digital Transformation: Leveraging NLP and Machine Learning for Enhanced Data Flow in Retail Operations

Ojika, F. U., Owobu, W. O., Abieba, O. A., Esan, O. J., Ubamadu, B. C., & Daraojimba, A. I. (2023). Transforming Cloud Computing Education: Leveraging AI and Data Science for Enhanced Access and Collaboration in Academic Environments

Ojika, F. U., Owobu, W. O., Abieba, O. A., Esan, O. J., Ubamadu, B. C., & Daraojimba, A. I. (2022). The Impact of Machine Learning on Image Processing: A Conceptual Model for Real-Time Retail Data Analysis and Model Optimization.

Ojo, G. G., Lottu, O. A., Ndiwe, T. C., Izuka, U., & Ehiobu, N. N. (2023). Solar Energy Adaptation and Efficiency Across Diverse Nigerian and Global Climates: A Review of Technological Advancement. Engineering Heritage Journal (GWK), 7(1), 99-107.

Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P. M., & Komolafe, M. O. (2022). A conceptual model for financial advisory standardization: Bridging the financial literacy gap in Nigeria. International Journal of Frontline Research in Science and Technology, 1(02), 038-052.

Okeke, I. C., Agu, E. E., Ejike, O. G., Ewim, C. P., & Komolafe, M. O. (2022). A theoretical model for standardized taxation of Nigeria’s informal sector: A pathway to compliance. International Journal of Frontline Research in Science and Technology, 1(2), 83-97.

Okolo, F. C., Etukudoh, E. A., Ogunwole, O., Osho, G. O., & Basiru, J. O. (2023). Advances in Cyber-Physical Resilience of Transportation Infrastructure in Emerging Economies and Coastal Regions.

Okolo, F. C., Etukudoh, E. A., Ogunwole, O., Osho, G. O., & Basiru, J. O. (2022). Advances in Integrated Geographic Information Systems and AI Surveillance for Real-Time Transportation Threat Monitoring.

Okolo, F. C., Etukudoh, E. A., Ogunwole, O., Osho, G. O., &Basiru, J. O. (2022). Strategic Approaches to Building Digital Workforce Capacity for Cybersecure Transportation Operations and Policy Compliance. International Journal of Social Science Exceptional Research, 1(6), 17–29.

Olorunyomi, T. D., Adewale, T. T., & Odonkor, T. N. (2022). Dynamic risk modeling in financial reporting: Conceptualizing predictive audit frameworks. Int J Frontline Res Multidiscip Stud [Internet], 1(2), 094-112.

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.

Onukwulu, E. C., Fiemotongha, J. E., Igwe, A. N., &Ewim, C. P. M. (2023). The evolution of risk management practices in global oil markets: Challenges and opportunities for modern traders. International Journal of Management and Organizational Research, 2(1), 87–101.

Onukwulu, E. C., Fiemotongha, J. E., Igwe, A. N., &Ewim, C. P. M. (2023). Transforming supply chain logistics in oil and gas: Best practices for optimizing efficiency and reducing operational costs. Journal of Advance Multidisciplinary Research, 2(2), 59–76.

Onyeke, F. O., Digitemie, W. N., Adekunle, M. U. S. A., & Adewoyin, I. N. D. (2023). Design thinking for SaaS product development in energy and technology: Aligning usercentric solutions with dynamic market demands.

Oyeyipo, I., Attipoe, V., Mayienga, B. A., Onwuzulike, O. C., Ayodeji, D. C., Nwaozomudoh, M. O., ... & Ahmadu, J. (2023). A conceptual framework for transforming corporate finance through strategic growth, profitability, and risk optimization. International Journal of Advanced Multidisciplinary Research and Studies, 3(5), 1527-1538.

Ozobu, C. O., Adikwu, F. E., Odujobi, O., Onyekwe, F. O., Nwulu, E. O., & Daraojimba, A. I. (2023). Leveraging AI and Machine Learning to Predict Occupational Diseases: A Conceptual Framework for Proactive Health Risk Management in High-Risk Industries.

Downloads

Published

11-05-2023

Issue

Vol. 7 No. 3 (2023): May-June

Section

Research Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

https://creativecommons.org/licenses/by/4.0