Network Segmentation Strategies - Defense-in-Depth Approach: Exploring network segmentation strategies as part of a defense-in-depth approach to minimize the impact of cyber attacks and prevent lateral movement

Authors

  • Dr. Andreas Papadopoulos Associate Professor of Electrical and Computer Engineering, National Technical University of Athens, Greece Author

Keywords:

Network Segmentation, Defense-in-Depth

Abstract

Network segmentation is a crucial component of a defense-in-depth approach to cybersecurity, aiming to minimize the impact of cyber attacks and prevent lateral movement within a network. This paper explores various network segmentation strategies, including micro-segmentation, macro-segmentation, and zero-trust networking. It examines the benefits and challenges of each approach and discusses best practices for implementing network segmentation to enhance overall network security. Additionally, the paper discusses the role of network segmentation in compliance with regulatory requirements such as GDPR and HIPAA. Overall, this paper provides a comprehensive overview of network segmentation strategies and their importance in modern cybersecurity practices.

Downloads

Download data is not yet available.

References

Prabhod, Kummaragunta Joel. "ANALYZING THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES IN IMPROVING PRODUCTION SYSTEMS." Science, Technology and Development 10.7 (2021): 698-707.

Sadhu, Amith Kumar Reddy, and Ashok Kumar Reddy Sadhu. "Fortifying the Frontier: A Critical Examination of Best Practices, Emerging Trends, and Access Management Paradigms in Securing the Expanding Internet of Things (IoT) Network." Journal of Science & Technology 1.1 (2020): 171-195.

Tatineni, Sumanth, and Karthik Allam. "Implementing AI-Enhanced Continuous Testing in DevOps Pipelines: Strategies for Automated Test Generation, Execution, and Analysis." Blockchain Technology and Distributed Systems 2.1 (2022): 46-81.

Pulimamidi, Rahul. "Emerging Technological Trends for Enhancing Healthcare Access in Remote Areas." Journal of Science & Technology 2.4 (2021): 53-62.

Perumalsamy, Jegatheeswari, Chandrashekar Althati, and Lavanya Shanmugam. "Advanced AI and Machine Learning Techniques for Predictive Analytics in Annuity Products: Enhancing Risk Assessment and Pricing Accuracy." Journal of Artificial Intelligence Research 2.2 (2022): 51-82.

Devan, Munivel, Lavanya Shanmugam, and Chandrashekar Althati. "Overcoming Data Migration Challenges to Cloud Using AI and Machine Learning: Techniques, Tools, and Best Practices." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 1-39.

Althati, Chandrashekar, Bhavani Krothapalli, and Bhargav Kumar Konidena. "Machine Learning Solutions for Data Migration to Cloud: Addressing Complexity, Security, and Performance." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 38-79.

Pelluru, Karthik. "Unveiling the Power of IT DataOps: Transforming Businesses across Industries." Innovative Computer Sciences Journal 8.1 (2022): 1-10.

Machireddy, Jeshwanth Reddy. "Data-Driven Insights: Analyzing the Effects of Underutilized HRAs and HSAs on Healthcare Spending and Insurance Efficiency." Journal of Bioinformatics and Artificial Intelligence 1.1 (2021): 450-470.

Sadhu, Ashok Kumar Reddy, and Amith Kumar Reddy. "A Comparative Analysis of Lightweight Cryptographic Protocols for Enhanced Communication Security in Resource-Constrained Internet of Things (IoT) Environments." African Journal of Artificial Intelligence and Sustainable Development 2.2 (2022): 121-142.

Tatineni, Sumanth, and Venkat Raviteja Boppana. "AI-Powered DevOps and MLOps Frameworks: Enhancing Collaboration, Automation, and Scalability in Machine Learning Pipelines." Journal of Artificial Intelligence Research and Applications 1.2 (2021): 58-88.

Downloads

Published

02-02-2022

How to Cite

[1]
Dr. Andreas Papadopoulos, “Network Segmentation Strategies - Defense-in-Depth Approach: Exploring network segmentation strategies as part of a defense-in-depth approach to minimize the impact of cyber attacks and prevent lateral movement”, Distrib Learn Broad Appl Sci Res, vol. 8, pp. 59–69, Feb. 2022, Accessed: Nov. 21, 2024. [Online]. Available: https://dlabi.org/index.php/journal/article/view/58

Similar Articles

1-10 of 45

You may also start an advanced similarity search for this article.