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Enhancing Monitoring Performance: A Microservices Approach To Monitoring With Spyware Techniques And Prediction Models.

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Enhancing Monitoring Performance: A Microservices Approach To Monitoring With Spyware Techniques And Prediction Models.

Related Experiment Video

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Enhancing Monitoring Performance: A Microservices Approach to Monitoring with Spyware Techniques and Prediction

Anubis Graciela de Moraes Rossetto¹, Darlan Noetzold¹, Luis Augusto Silva²

¹Federal Institute of Education, Science and Technology Sul-Rio-Grandense, Passo Fundo 99.064-440, RS, Brazil.

Sensors (Basel, Switzerland)

|July 13, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study introduces a microservices architecture for monitoring employee computer usage to detect data leaks and hate speech. Quarkus significantly outperformed Spring Boot, reducing memory and CPU usage, enhancing organizational security.

Keywords:

data leakage electronic monitoring hate speech microservices prediction

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Area of Science:

Computer Science
Cybersecurity
Software Engineering

Background:

Organizations face significant risks from sensitive data leaks and hate speech, leading to financial, reputational, and psychological damage.
Effective monitoring of computer usage is crucial for mitigating these threats and ensuring a secure digital environment.

Purpose of the Study:

To present a comprehensive microservices-based solution for monitoring organizational computer usage.
To compare the performance of Spring Boot and Quarkus for implementing such a system.
To evaluate the system's effectiveness in detecting data leaks, suspicious behaviors, and hate speech.

Main Methods:

Development of a microservices architecture incorporating spyware techniques for data capture.
Implementation of a web application for alert management and predictive modeling for threat detection.

Comparative performance analysis using objective metrics and benchmarks for Spring Boot and Quarkus.

Main Results:

Quarkus demonstrated substantial performance improvements over Spring Boot.
Memory usage reduced by up to 80%, CPU usage by 95%, and system uptime decreased by 119% with Quarkus.
The system effectively detects data leaks, suspicious behaviors, and hate speech.

Conclusions:

The proposed microservices solution provides a robust framework for enhancing organizational security.
Quarkus offers significant performance advantages over Spring Boot for developing such security monitoring systems.
The findings guide developers and architects in making informed technology choices for enhanced security.