Retia: Cloud-Based Network Management System with Automated DDOS Mitigation Based on Dynamic Thresholding Algorithm

Organizations use a Network Management System (NMS) to maintain the reliability and integrity of data transmission in their infrastructure, but it lacks network automation features, requiring manual configuration of network devices. The growth of computer networks also increases the risk of DDoS attacks. Previous research has identified a dynamic thresholding algorithm as a potential solution to this issue. However, the algorithm is only a model and has not yet been implemented in practice. This study aims to develop a comprehensive system called Retia that combines network monitoring, device automation, and DDoS mitigation. Design-Science Research used as the research methodology. This research uses qualitative data analysis techniques to determine the level of usefulness and improvement on previous research, namely network automation with REST API using Django, DDoS detection system using dynamic thresholding algorithm, and DDoS mitigation system using dynamic access control list. The objective of this research is a prototype to offer network administrators a centralized and streamlined approach to network management. This research successfully implements the Retia System with monitoring, logging, alerting, device configuration, and integration with the DDoS mitigation system.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/icitacee62763.2024.10762761
Primary Topic
Network Security and Intrusion Detection
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article
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article

Retia: Cloud-Based Network Management System with Automated DDOS Mitigation Based on Dynamic Thresholding Algorithm

Adian Fatchur Rochim, Bellia Dwi Cahya Putri, Erwin Adriono, Adnan Fauzi et al.
Network Security and Intrusion Detection
article

Retia: Cloud-Based Network Management System with Automated DDOS Mitigation Based on Dynamic Thresholding Algorithm

Adian Fatchur Rochim, Bellia Dwi Cahya Putri, Erwin Adriono, Adnan Fauzi, Salahudin Al Ayubi, Ezra Lazuardy Wijaya, Dhea Rahma Putri
article en

Abstract

Organizations use a Network Management System (NMS) to maintain the reliability and integrity of data transmission in their infrastructure, but it lacks network automation features, requiring manual configuration of network devices. The growth of computer networks also increases the risk of DDoS attacks. Previous research has identified a dynamic thresholding algorithm as a potential solution to this issue. However, the algorithm is only a model and has not yet been implemented in practice. This study aims to develop a comprehensive system called Retia that combines network monitoring, device automation, and DDoS mitigation. Design-Science Research used as the research methodology. This research uses qualitative data analysis techniques to determine the level of usefulness and improvement on previous research, namely network automation with REST API using Django, DDoS detection system using dynamic thresholding algorithm, and DDoS mitigation system using dynamic access control list. The objective of this research is a prototype to offer network administrators a centralized and streamlined approach to network management. This research successfully implements the Retia System with monitoring, logging, alerting, device configuration, and integration with the DDoS mitigation system.

Diponegoro University (ID)
Climate action
Openalex Percentile: Top 75%
Network Security and Intrusion Detection
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