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Related Experiment Videos

Attack Classification Schema for Smart City WSNs.

Victor Garcia-Font1, Carles Garrigues2, Helena Rifà-Pous3

  • 1Internet Interdisciplinary Institute (IN3), IT, Multimedia and Telecommunications Department, Universitat Oberta de Catalunya, Rambla del Poblenou 156, 08018 Barcelona, Spain. vgarciafo@uoc.edu.

Sensors (Basel, Switzerland)
|April 6, 2017
PubMed
Summary

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Smart cities rely on wireless sensor networks (WSNs) for data. This study proposes a new framework to detect and classify cyberattacks on WSNs, ensuring smart city reliability and security.

Area of Science:

  • Computer Science
  • Network Security
  • Urban Technology

Background:

  • Wireless Sensor Networks (WSNs) are increasingly deployed in urban areas for smart city initiatives.
  • The reliability of WSNs is crucial for municipal services, but they are vulnerable to various cyberattacks.
  • Existing WSN security measures are inadequate for the complex, multi-provider environment of smart cities.

Purpose of the Study:

  • To address the security challenges of WSNs in smart cities.
  • To propose a novel intrusion detection framework tailored for smart city environments.
  • To introduce an attack classification schema for identifying and categorizing WSN threats.

Main Methods:

  • Development of a new intrusion detection framework for WSNs.
  • Creation of a classification schema for WSN attacks in smart cities.
Keywords:
anomaly detectioninformation securityintrusion detectionsecurity information and event managementsmart citieswireless sensor networks

Related Experiment Videos

  • Simulation of a selective forwarding attack on parking and sound WSNs to demonstrate the framework's efficacy.

    • Main Results:

    • The proposed framework and classification schema can help administrators identify plausible attacks.
    • The system can pinpoint affected components and providers within the smart city infrastructure.
    • Proof-of-concept demonstrated successful detection and classification of a simulated attack.

    Conclusions:

    • A new security perspective is essential for WSNs in smart cities.
    • The proposed framework and schema enhance the security and reliability of WSNs for urban data collection.
    • This approach supports smart city administrators in managing WSN security incidents effectively.