Strengthening Network Security: Best Practices to Protect Your Digital Infrastructure
Article Sidebar
Main Article Content
Abstract
In today’s hyper-connected digital landscape, safeguarding network infrastructure is paramount to maintaining organizational integrity, confidentiality, and availability. This article explores comprehensive best practices to strengthen network security, addressing the ever-evolving threat landscape targeting digital assets. From robust perimeter defenses and advanced intrusion detection systems to zero-trust architectures and continuous monitoring, the discussion highlights critical strategies that organizations must adopt to mitigate risks effectively. Emphasizing a layered security approach, the article delves into practical methods such as network segmentation, encryption protocols, and access control mechanisms, alongside employee training and incident response preparedness. By integrating these best practices, enterprises can fortify their digital infrastructure against sophisticated cyberattacks, ensuring resilient, secure, and compliant network environments poised to meet future challenges.
Article Details
Section
How to Cite
References
1. Jena, J. (2025). Adapting to Remote Work: Emerging Cyber Risks and How to Safeguard Your Organization. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 11(1), 1763-1773.
2. Mohan Babu, Talluri Durvasulu (2022). Exploring the Power of Cloud Storage with Azure and AWS. International Journal on Recent and Innovation Trends in Computing and Communication 10 (2).
3. Kotha, N. R. (2021). Automated phishing response systems: Enhancing cybersecurity through automation. International Journal of Computer Engineering and Technology, 12(2), 64–72.
4. Sivasatyanarayanareddy, Munnangi (2021). Decentralizing Workflows: Blockchain Meets BPM for Secure Transactions. International Journal of Intelligent Systems and Applications in Engineering 9 (4):324-339.
5. Kolla, S. (2020). Remote Access Solutions: Transforming IT for the Modern Workforce. International Journal of Innovative Research in Science, Engineering and Technology, 9(10), 9960-9967. https://www.ijirset.com/upload/2020/october/104_Remote.pdf
6. Vangavolu, S. V. (2021). Continuous Integration and Deployment Strategies for MEAN Stack Applications. International Journal on Recent and Innovation Trends in Computing and Communication, 9(10), 53-57. https://ijritcc.org/index.php/ijritcc/article/view/11527/8841
7. Goli, V. R. (2015). The evolution of mobile app development: Embracing cross-platform frameworks. International Journal of Advanced Research in Engineering and Technology, 6(11), 99–111. https://doi.org/10.34218/IJARET_06_11_010
8. Rele, M., Patil, D., & Krishnan, U. (2023). Hybrid Algorithm for Large Scale in Electric Vehicle Routing and Scheduling Optimization. Procedia Computer Science, 230, 503-514.
9. Kamran, A., Haidery, A., Hussain, S., Rizvi, S. A., & Muhammad, D. (2023). Implementing Frame Work of Cloud Computing in Pharmaceuticals Industries of Pakistan. In E3S Web of Conferences (Vol. 409, p. 02008). EDP Sciences.
10. Machireddy, J. R. (2022). Integrating predictive modeling with policy interventions to address fraud, waste, and abuse (fwa) in us healthcare systems. Advances in Computational Systems, Algorithms, and Emerging Technologies, 7(1), 35-65.
11. Machireddy, J. R. (2022). Integrating predictive modeling with policy interventions to address fraud, waste, and abuse (fwa) in us healthcare systems. Advances in Computational Systems, Algorithms, and Emerging Technologies, 7(1), 35-65.
12. Nambiar, P. (2021). Multi-cloud Security: Use of multi-cloud strategies is increasing in business. Cybersecurity professionals need to be flexible to adapt to their use. ISSA Journal, 19(4).
13. Saraswat, M., Choudhary, M., Prashar, A., Kumar, A., & Bahadur, P. (2023). ADOPTION & OPTIMIZATION OF CLOUD MANAGEMENT: CURRENT ISSUES AND FUTURE DIRECTIONS. Journal of Pharmaceutical Negative Results, 14(2).
14. Gudelli, V. R. (2023). CloudFormation and Terraform: Advancing Multi-Cloud Automation Strategies. International Journal of Innovative Research in Management, Pharmacy and Sciences (IJIRMPS), 11(2).
15. Jayanthiladevi, A., Ayoobkhan, M. U. A., ThamaraiSelvi, R., Jimmy, L., Mishra, P., & Robert, N. R. (2022). Implementation of multicloud strategies for healthcare organisations to avoid cloud sprawl. International Journal of Cloud Computing, 11(5-6), 529-536.
16. Machireddy, J. R., & Devapatla, H. (2022). Leveraging robotic process automation (rpa) with ai and machine learning for scalable data science workflows in cloud-based data warehousing environments. Australian Journal of Machine Learning Research & Applications, 2(2), 234-261.
17. Liu, Y., Jia, S., Yu, Y., & Ma, L. (2021). Prediction with coastal environments and marine diesel engine data based on ship intelligent platform. Applied Nanoscience, 1-5.
18. Dalal, K. R., & Rele, M. (2018, October). Cyber Security: Threat Detection Model based on Machine learning Algorithm. In 2018 3rd International Conference on Communication and Electronics Systems (ICCES) (pp. 239-243). IEEE.
19. Wang, F., Luo, H., Yu, Y., & Ma, L. (2020). Prototype Design of a Ship Intelligent Integrated Platform. In Machine Learning and Artificial Intelligence (pp. 435-441). IOS Press.