TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

Powered by:Powered by

Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
submissions@tarupublications.com
Open Access Research Article

Strategic investment approaches for building robust computer security frameworks within organizational networks

, , * , ,

* Corresponding author · click or hover a name for details

pp. 1661–1669Vol. 47Issue 5-AMay 2026DOI: 10.47974/JIOS-2256XML
Received:
01 Apr 2025
Published Online:
23 Apr 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2256
Pages:
1661–1669

Abstract

In order to increase computer security frameworks inside organisational networks, this research offers a structured framework for strategic investment methods.  In order to combat emerging cyber threats, proactive and cost-effective solutions are required, since traditional reactive defences are inadequate. The suggested system combines risk-return modelling and mathematical optimisation to direct the effective distribution of scarce resources across many defence layers. Organisations may achieve balanced spending, improved resilience, and quantifiable risk reduction by tying financial planning to cybersecurity goals. The results demonstrate how proactive, AI-driven investments outperform other options in reducing the likelihood of breaches while optimising ROI and maintaining business continuity.

Keywords

Subject Classifications

68M25

References

[1] N. Dragoni, A. L. Lafuente, F. Massacci, and A. Schlichtkrull, “Are we preparing students to build security in? A survey of European cybersecurity in higher education programs,” IEEE Security & Privacy, vol. 19, no. 1, pp. 81–88 (2021).
[2] T. Balon and I. Baggili, “Cybercompetitions: A survey of competitions, tools, and systems to support cybersecurity education,” Education and Information Technologies, vol. 28, pp. 11759–11791 (2023).
[3] T. M. Fernández-Caramés and P. Fraga-Lamas, “Use case based blended teaching of IIoT cybersecurity in the Industry 4.0 era,” Applied Sciences, vol. 10, no. 16, pp. 5607 (2020).
[4] R. N. Wadibhasme, A. U. Chaudhari, P. Khobragade, H. D. Mehta, R. Agrawal, and C. Dhule, “Detection and prevention of malicious activities in vulnerable network security using deep learning,” in Proc. 2024 Int. Conf. Innovations and Challenges in Emerging Technologies (ICICET), pp. 1–6 (2024).
[5] T. Branoff, J. Mohammed, and J. Brown, “The role of spatial visualization ability in course outcomes and student retention within technology programs,” Journal for Geometry and Graphics, vol. 26, no. 2, pp. 159–170 (2022).
[6] F. Mizrak, “Integrating cybersecurity risk management into strategic management: A comprehensive literature review,” Research Journal of Business Management, vol. 10, no. 2, pp. 98–108 (2023).
[7] J. Kotsias, A. Ahmad, and R. Scheepers, “Adopting and integrating cyber-threat intelligence in a commercial organisation,” European Journal of Information Systems, vol. 32, no. 1, pp. 35–51 (2023).
[8] S. N. Ajani, J. Moulick, J. Mohur, R. H. J. Rani, A. D. Sonawane, and P. Shende, “Enhancing secure access in RF communications through advanced elliptic curve encryption,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 29, no. 2-A, pp. 571–579 (2026), doi: 10.47974/JDMSC-2498.
[9] S. Harsha, K. Aswini, G. Sahith, G. V. N. Abhiram, and D. B. Kumar, “Data integrity verification in images through SHA-based security,” International Journal of Advanced Computer Engineering and Communication Technology (IJACECT), vol. 14, no. 1, pp. 75–84 (Apr. 2025).
[10] A. K. Rajpoot, D. Dhabliya, V. N. Trupti, T. A. Wani, K. Gupta, and L. Lakshmanan, “Quantum cryptography: Assessing the security and practicality of quantum key distribution in modern communication networks,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 29, no. 2-B, pp. 979–986 (2026), doi: 10.47974/JDMSC-2549.
[11] V. D. Joshi, M. Sharma, R. K. Alhefthi, and M. Purohit, “Optimal route planning for multi-level multi-choice transportation problem with uncertain parameters using Lagrange’s interpolating polynomial,” Journal of Information and Optimization Sciences, vol. 46, no. 3, pp. 761–766 (2025), doi: 10.47974/JIOS-1794. 

Views: 139Downloads: 104Citations: 0