TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Hybrid ·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

Optimizing communication system security through comprehensive testing and intelligent network configurations

, , , , *

* Corresponding author · click or hover a name for details

pp. 1709–1717Vol. 47Issue 5-AMay 2026DOI: 10.47974/JIOS-2261XML
Received:
01 Apr 2025
Published Online:
23 Apr 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2261
Pages:
1709–1717

Abstract

This essay looks at ways to make communication systems safer by trying them thoroughly and setting up networks in smart ways. To find flaws and make sure the system is resilient, it is put through a lot of tests, such as penetration testing, vulnerability screening, stress testing, and fault injection. Theoretical models show detecting probability limits, threshold optimization, and the ability to recover from faults. Intelligent network designs, like adaptable routing, software-defined networking, network function virtualization, and AI/ML-driven anomaly prediction, make security better in a way that is both scalable and proactive. The results of the experiments show that recognition accuracy has greatly improved, there are fewer false hits, and reaction times are much faster.

Keywords

Subject Classifications

68M2546N10

References

[1] A. Bécue, I. Praça, and J. Gama, “Artificial intelligence, cyber-threats and Industry 4.0: Challenges and opportunities,” Artificial Intelligence Review, vol. 54, pp. 3849–3886 (2021).
[2] M. Soori, B. Arezoo, and R. Dastres, “Artificial intelligence, machine learning and deep learning in advanced robotics: A review,” Cognitive Robotics, vol. 3, pp. 54–70 (2023).
[3] M. A. Al-Garadi, A. Mohamed, A. K. Al-Ali, X. Du, I. Ali, and M. Guizani, “A survey of machine and deep learning methods for Internet of Things (IoT) security,” IEEE Communications Surveys & Tutorials, vol. 22, pp. 1646–1685 (2020).
[4] F. Hussain, S. A. Hassan, R. Hussain, and E. Hossain, “Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges,” IEEE Communications Surveys & Tutorials, vol. 22, pp. 1251–1275 (2020).
[5] M. Z. Chowdhury, M. Shahjalal, S. Ahmed, and Y. M. Jang, “6G wireless communication systems: Applications, requirements, technologies, challenges, and research directions,” IEEE Open Journal of the Communications Society, vol. 1, pp. 957–975 (2020).
[6] U. Joseph Umoga, E. Oluwademilade Sodiya, E. David Ugwuanyi, and B. Sonimitiem Jacks, “Exploring the potential of AI-driven optimization in enhancing network performance and efficiency,” Magna Science Advanced Research and Reviews, vol. 10, pp. 368–378 (2024).
[7] M. El-Hajj, “Leveraging digital twins and intrusion detection systems for enhanced security in IoT-based smart city infrastructures,” Electronics, vol. 13, p. 3941 (2024).
[8] L. Dai, R. Jiao, F. Adachi, H. V. Poor, and L. Hanzo, “Deep learning for wireless communications: An emerging interdisciplinary paradigm,” IEEE Wireless Communications, vol. 27, pp. 133–139 (2020).
[9] K. Harahsheh and C. H. Chen, “A survey of using machine learning in IoT security and the challenges faced by researchers,” Informatica, vol. 47, pp. 1–54 (2023).
[10] H. Taslimasa, S. Dadkhah, E. C. Pinto Neto, P. Xiong, S. Ray, and A. A. Ghorbani, “Security issues in Internet of Vehicles (IoV): A comprehensive survey,” Internet of Things, vol. 22, p. 100809 (2023).
[11] A. Godbole, R. Dhabliya, V. Deshpande, S. A. Sivakumar, B. M. Shankar, and V. Khetani, “Ethical hacking and penetration testing: Strengthening cybersecurity posture through offensive security measures,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 4, pp. 1295–1305 (2024).
[12] V. Deshpande, D. Khubalkar, A. Dhablia, M. J. Pasha, D. Dhabliya, and Y. Gandhi, “Enhancing financial transaction security with lightweight cryptographic algorithms,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 27, no. 2-B, pp. 741–751 (2024).
[13] M. Ghorbaninejad, S. Ghobadi, and M. Matinfar, “Interpolation method for computing some topological indices,” Journal of Information and Optimization Sciences, vol. 46, no. 5, pp. 1425–1437 (2025).
[14] J. Chen, C. Guo, R. Lin, and C. Feng, “Tasks-oriented joint resource allocation scheme for the Internet of Vehicles with sensing, communication and computing integration,” China Communications, vol. 3, pp. 27–42 (2023).
[15] H. Humane, S. Hedau, V. Choudhari, M. Hatwar, and V. Kalwala, “Real-time sleep detection and alert system for drivers using smart glasses,” ITSI Transactions on Electrical and Electronics Engineering, vol. 14, no. 1, pp. 33–36 (May 2025).

Views: 86Downloads: 84Citations: 0