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Azure SOC Honeynet: Proactive Cyber Defense in Action
Subject area: Science,Engineering and Technology · Area of research: Cyber Security
Abstract
In today?s rapidly evolving cyber threat landscape, traditional security mechanisms are often inadequate to combat sophisticated attacks. This work presents the design and implementation of an integrated cybersecurity framework that combines honeynet technology with Security Operations Center (SOC) operations within the Microsoft Azure cloud environment. Honeynets are deployed using virtual machines and SQL databases configured as decoy systems to capture and analyze malicious activities. These insights are then fed into Azure Sentinel and Log Analytics for real-time monitoring, threat detection, and incident response. The project demonstrates enhanced detection capabilities, scalable SOC operations, and improved incident management using Azure?s cloud-native security tools. Experimental results highlight the effectiveness of this approach in attracting attackers, gathering actionable intelligence, and strengthening network defenses. Furthermore, the project provides significant educational value by offering hands-on exposure to advanced cybersecurity practices.
Keywords
Cybersecurity, Honeynet, Security Operations Center (SOC), Microsoft Azure, Azure Sentinel, Cloud Security, Threat Detection, Incident Response, Log Analytics, Proactive Defense
References
[1] Microsoft. (2023). Azure Sentinel Documentation. Retrieved from Microsoft Docs.
[2] Microsoft. (2023). Azure Security Center Documentation. Retrieved from Microsoft Docs.
[3] Microsoft. (2023). Log Analytics Workspace Documentation. Retrieved from Microsoft Docs.
[4] Honeynet Project. (2023). Honeynet Project Overview. Retrieved from Honeynet Project.
[5] Scarfone, K., & Mell, P. (2023). Guide to Intrusion Detection and Prevention Systems (IDPS). NIST Special Publication, 800(94), 1-127. Retrieved from NIST.
[6] Joshi, A., Sardana, A., & Ganesan, A. (2023). Cybersecurity - Attack and Defense Strategies. Packt Publishing.
[7] Microsoft. (2023). Azure Security Best Practices and Patterns. Retrieved from Microsoft Docs.
[8] Kumar, R. (2023). Advanced Cybersecurity Measures for Cloud Environments. Cybersecurity Journal, 15(2), 45-67.
[9] Johnson, D. (2023). Leveraging Artificial Intelligence for Enhanced Cyber Threat Detection. Journal of Cyber Intelligence, 12(3), 89-112.
[10] Singh, P. (2023). Real-time Threat Monitoring and Response in Cloud Infrastructures. International Journal of Cloud Computing, 9(4), 125-148.
[11] Spitzner, L. (2019). "Honeypots: Tracking Hackers." Addison-Wesley Professional.
[12] Zhang, X., Liu, Y., & Li, J. (2021). "AI-driven Honeynets: Enhancing Threat Detection and Analysis." Journal of Cybersecurity Research, 15(3), 210-225.
[13] Alsmadi, I., & Zarour, M. (2020). "The Role of Security Operations Centers in Cybersecurity." International Journal of Information Security, 19(4), 345-359.
[14] Khraisat, A., Gondal, I., & Vamplew, P. (2021). "Implementation of SOAR Platforms in SOCs: A Case Study." Computers & Security, 104, 102126.
[15] Sharma, P., Gupta, R., & Mishra, V. (2022). "Integrating Honeynets with SOCs: Enhancing Threat Detection Capabilities." Journal of Information Security and Applications, 62, 10304
How to cite this paper
@article{1710491,
author = {Nithishree Shetty, Bhavana K C, Likhitha A, Dhanushree R, Bhagyashri Wakde},
title = {Azure SOC Honeynet: Proactive Cyber Defense in Action},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {3},
pages = {435-439},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710491.pdf},
abstract = {In today?s rapidly evolving cyber threat landscape, traditional security mechanisms are often inadequate to combat sophisticated attacks. This work presents the design and implementation of an integrated cybersecurity framework that combines honeynet technology with Security Operations Center (SOC) operations within the Microsoft Azure cloud environment. Honeynets are deployed using virtual machines and SQL databases configured as decoy systems to capture and analyze malicious activities. These insights are then fed into Azure Sentinel and Log Analytics for real-time monitoring, threat detection, and incident response. The project demonstrates enhanced detection capabilities, scalable SOC operations, and improved incident management using Azure?s cloud-native security tools. Experimental results highlight the effectiveness of this approach in attracting attackers, gathering actionable intelligence, and strengthening network defenses. Furthermore, the project provides significant educational value by offering hands-on exposure to advanced cybersecurity practices.},
keywords = {Cybersecurity, Honeynet, Security Operations Center (SOC), Microsoft Azure, Azure Sentinel, Cloud Security, Threat Detection, Incident Response, Log Analytics, Proactive Defense},
month = {September},
}