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Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
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False Data Detection for Fog and Internet of Things Networks.

Romano Fantacci1, Francesca Nizzi1, Tommaso Pecorella1

  • 1Department of Information Engineering, University of Florence, 50139 Firenze, Italy.

Sensors (Basel, Switzerland)
|October 2, 2019
PubMed
Summary

This study introduces Data Intrusion Detection System (DataIDS) for Internet of Things (IoT) security. Fog Computing (FC) enhances real-time attack detection on resource-constrained devices.

Keywords:
Internet of Thingsadaptive systemsdynamic protectionfault detection and diagnosisintelligence for embedded and cyber-physical systemssecuritysmart sensor networks

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Area of Science:

  • Cybersecurity
  • Computer Networks
  • Internet of Things

Background:

  • The Internet of Things (IoT) presents significant security challenges due to billions of interconnected, resource-constrained devices.
  • Existing cloud-based security solutions may not be optimal for real-time threat detection in dynamic IoT environments.

Purpose of the Study:

  • To propose a novel attack-detection method, Data Intrusion Detection System (DataIDS), for enhanced IoT security.
  • To leverage Fog Computing (FC) for efficient, real-time data analysis and threat detection in IoT networks.

Main Methods:

  • Implementation of DataIDS using Fog Computing (FC) for increased storage and processing capabilities.
  • Utilizing attack trees to model threats and vulnerabilities in heterogeneous Fog/IoT scenarios.
  • Real-time data analysis for prompt attack detection.

Main Results:

  • DataIDS demonstrates effective real-time attack detection by utilizing FC.
  • FC-based DataIDS offers faster detection compared to cloud-centric security solutions.
  • The study validates the performance of DataIDS through a practical testbed.

Conclusions:

  • The proposed DataIDS, implemented with Fog Computing, provides an efficient and effective solution for securing Internet of Things environments.
  • Fog Computing is a viable architecture for enhancing the security of resource-constrained IoT devices.
  • The integration of attack trees aids in understanding and mitigating vulnerabilities in Fog/IoT systems.