Orchestrating honeypot deployment in lightweight container platforms to improve security

A significant evolution has occurred in the architectural and infrastructural domains of web applications over the past several years. Monolithic systems are gradually being superseded by microservices-based architectures, which are now considered the de facto standard for web application development owing to their inherent portability, scalability, and ease of deployment. Concurrently, the prevalence of this architecture has rendered it susceptible to specialized cyberattacks. While honeypots have proven effective in the past for gathering real-world attack data and uncovering attacker methods, their growing popularity has made them a specific target for cyberattacks. Traditional honeypots lack the flexibility of microservices architecture. Honeypots have proven effective in gathering authentic attack data and analyzing attacker tactics. The core idea that honey traps help identify malicious packets with minimal effort to remove incorrect alerts is preserved. In addition to identifying and documenting specific attack methods used by intruders, this system helps thwart attacks by creating realistic simulations of the actual systems and applications within the network. This effectively slows down and confuses attackers by making it difficult for them to gain access to real devices. This paper presents a groundbreaking approach to honeypot management within cybersecurity, utilizing virtual clusters and a microservice architecture to significantly improve the effectiveness of threat detection. To conduct our research, we initially surveyed the internet to pinpoint container and container management systems operating on standard ports that might be susceptible to attacks. The monitoring of the instrumented approach generated a massive dataset, enabling researchers to make significant inferences about the behavior and goals of malevolent users. We advocate for the implementation of honeypots on lightweight distribution orchestration tools installed on Ubuntu servers, situated behind a meticulously crafted gateway and operating on standard port configurations. In light of the scan outcomes, we recommend the deployment of honeypot orchestration on streamlined distributions. To better protect your systems based on our scan results, we recommend implementing honeypot orchestration for easier deployment and management. By deploying honeypots on lightweight operating systems, you can optimize resource usage and improve performance while maintaining essential capabilities. These capabilities include monitoring attack patterns on vulnerable systems and analyzing the security measures implemented by those responsible for managing exposed systems.

Authors

Institutions

Publication Details

Journal
International Science Journal of Engineering & Agriculture
Published
2025-02-01
DOI
https://doi.org/10.46299/j.isjea.20250401.01
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Orchestrating honeypot deployment in lightweight container platforms to improve security

Yurii Tulashvili, В. Кошелюк
International Science Journal of Engineering & Agriculture
Network Security and Intrusion Detection
article

Orchestrating honeypot deployment in lightweight container platforms to improve security

Yurii Tulashvili, В. Кошелюк
article en

Abstract

A significant evolution has occurred in the architectural and infrastructural domains of web applications over the past several years. Monolithic systems are gradually being superseded by microservices-based architectures, which are now considered the de facto standard for web application development owing to their inherent portability, scalability, and ease of deployment. Concurrently, the prevalence of this architecture has rendered it susceptible to specialized cyberattacks. While honeypots have proven effective in the past for gathering real-world attack data and uncovering attacker methods, their growing popularity has made them a specific target for cyberattacks. Traditional honeypots lack the flexibility of microservices architecture. Honeypots have proven effective in gathering authentic attack data and analyzing attacker tactics. The core idea that honey traps help identify malicious packets with minimal effort to remove incorrect alerts is preserved. In addition to identifying and documenting specific attack methods used by intruders, this system helps thwart attacks by creating realistic simulations of the actual systems and applications within the network. This effectively slows down and confuses attackers by making it difficult for them to gain access to real devices. This paper presents a groundbreaking approach to honeypot management within cybersecurity, utilizing virtual clusters and a microservice architecture to significantly improve the effectiveness of threat detection. To conduct our research, we initially surveyed the internet to pinpoint container and container management systems operating on standard ports that might be susceptible to attacks. The monitoring of the instrumented approach generated a massive dataset, enabling researchers to make significant inferences about the behavior and goals of malevolent users. We advocate for the implementation of honeypots on lightweight distribution orchestration tools installed on Ubuntu servers, situated behind a meticulously crafted gateway and operating on standard port configurations. In light of the scan outcomes, we recommend the deployment of honeypot orchestration on streamlined distributions. To better protect your systems based on our scan results, we recommend implementing honeypot orchestration for easier deployment and management. By deploying honeypots on lightweight operating systems, you can optimize resource usage and improve performance while maintaining essential capabilities. These capabilities include monitoring attack patterns on vulnerable systems and analyzing the security measures implemented by those responsible for managing exposed systems.

International Science Journal of Engineering & AgricultureVol. 4(1)
Lutsk National Technical University (UA)
Openalex Percentile: Top 99%
Network Security and Intrusion Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.