International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 9 - Issue 1, January 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Securing Educational Data Using Agent-Based Blockchain Technology

[Full Text]



Millicent Ubaka-Okoye, Ambrose A. Azeta, Aderonke A. Oni, Hilary I. Okagbue, Olanike S. Nicholas-Omoregbe



Blockchain technology, Educational data, Intelligent agent, Data security, insider threats, POA.



Educational data security especially examination, results and certificate management systems should be upheld with the utmost integrity. Blockchain has a prospective that possibly will offer a system with considerable sincerity and secure database in educational systems. Existing large databases of students’ external examinations, results and certificate management data are subject to manipulation and lack security in terms of confidentiality, integrity and availability. These cases are peculiar to external examinations conducted in tertiary institutions. Unfortunately, there is an abuse by system administrators/IT personnel in exercising their access privileges as a superuser. Hence, this work explored an agent based Blockchain-technology in securing educational data against insider threats focusing on Ethereum’s Proof of Authority (PoA) consensus algorithm to implement an agent-based blockchain model system. The work was able to discover a foundation for advancing current understanding of blockchain systems, development of models for blockchain using the immutable features of the technology and incorporation of intelligent agents



[1] JPonemon Institute LLC (2016). Research Department 2308 US 31 North Traverse City, Michigan 49686 USA 1.800.887.3118 research@ponemon.org Complete copies of all country reports are available at www.ibm.com/security/data-breach.
[2] Eweoya, I., Ayodele, A., Azeta, A. & Olatunji, O. (2019). Fraud prediction in bank credit administration: A systematic literature review. J. Theo. Appl. Info. Tech., 97(11), 3135-3157.
[3] Oladimeji, T.O., Ayo, C.K. & Adewumi, S.E. (2019). Review on Insider Threat Detection Techniques. Journal of Physics: Conference Series, 1299(1), 012046.
[4] Lynda.com (2015): Available at https: // www.toronto publiclibrary .ca/detail.jsp?R=EDB0187.
[5] Diamond, R., & Persson, P. (2016). The long-term consequences of teacher discretion in grading of high-stakes tests (No. w22207). National Bureau of Economic Research.
[6] PC Data &Society Magazine, (2017). Blockchain: The Invisible Technology That’s Changing the World. http: // www.pcmag.com/article/351486/ blockchain-the-invisible-technology-thats-changing-the world.
[7] Haber, S. & Stornetta, W.S. (2017). How to time-stamp a digital document. J. Cryptol., 3(2), 99-111.
[8] Turkanovic, M., Holbl, M., Kosic, K., Hericko, M., & Kamisalic, A. (2018). EduCTX: A Blockchain-Based Higher Education Credit Platform. IEEE Access, 6, 5112–5127.
[9] Gogan, M. (2017). Insider Threats as the main Security Threat in 2017,” 11 April 2017.
[10] Tschorsch, F. Scheurman, A. Grech, A. & Camilleri, F. (2016). Bitcoin and beyond: A technical survey on decentralized digital currencies. IEEE Commun. Surv. Tutorials, 18(3), 2084-2123.
[11] Chen, L. Xu, B. Lu, M. and Chen, N. (2018) Exploring Blockchain Technology and its potential Applications for Education. Smart Learning Environment 5:1.
[12] Schneck, P. Tumasjan, A. & Welpe, I. (2018). Disrupting the disruptors: An in-depth analysis of the implications of blockchain technology for today’s sharing economy. Industry Mag. 24(2), 29-32.
[13] Ali, J. (2016). Conceptualizing Intelligent Agents for Educational Institutions: the main provider of smart agents for e-learning ecosystems, Educause Quarterly, 78(4), 200-210.
[14] Kraft, D. (2016). Difficulty Control for blockchain- based consensus systems. Peer-to-Peer Network. Appl. 9(2), 397-413.
[15] Kirill-Kuvshinov, I. Nikiforov, I. Mostovoy, J. Mukhutdinov, D. & Andreev, V. (2018). Disciplina: Blockchain for Education, retrieved from https/bitcoin.org/bitcoinpdf.
[16] Elisa, N. Yang, L. Chao, F. & Cao, Y. (2018). A framework of blockchain-based secure and privacy-preserving E-government system. Springer, 203–214.
[17] Ahmed, K. Andrew, M. Elaine, S. Wen, Z. & Charalampos, P. (2017). Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts. University of Maryland and Cornell University Conference Proceedings, 6 (31) 1-31.
[18] Kavak, H., Padilla, J.J., Lynch, C.J. & Diallo, S.Y. (2018). Big data, agents, and machine learning: Towards a data-driven agent-based modeling approach. Simulation Series, 50(2), 125-136.
[19] Yli-Huumo, J., Ko, S., Choi, S., Park, K. & Smolander, K. (2016). Where is current research on blockchain technology? – A systematic review. PloS One, 11(10), 1–2.