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Title: Attack classification schema for smart city WSNs
Author: García Font, Víctor
Garrigues Olivella, Carles  
Rifà Pous, Helena  
Keywords: anomaly detection
information security
intrusion detection
security information and event management
smart cities
wireless sensor networks
Issue Date: Apr-2017
Publisher: Sensors
Citation: Garcia-Font,V., Garrigues, C., Rifà-Pous, H. (2017). "Attack classification schema for smart city WSNs". Sensors, 17, 771. ISSN 1424-8220. DOI 10.3390/s17040771
Abstract: Urban areas around the world are populating their streets with wireless sensor networks (WSNs) in order to feed incipient smart city IT systems with metropolitan data. In the future smart cities, WSN technology will have a massive presence in the streets, and the operation of municipal services will be based to a great extent on data gathered with this technology. However, from an information security point of view, WSNs can have failures and can be the target of many different types of attacks. Therefore, this raises concerns about the reliability of this technology in a smart city context. Traditionally, security measures in WSNs have been proposed to protect specific protocols in an environment with total control of a single network. This approach is not valid for smart cities, as multiple external providers deploy a plethora of WSNs with different security requirements. Hence, a new security perspective needs to be adopted to protect WSNs in smart cities. Considering security issues related to the deployment of WSNs as a main data source in smart cities, in this article, we propose an intrusion detection framework and an attack classification schema to assist smart city administrators to delimit the most plausible attacks and to point out the components and providers affected by incidents. We demonstrate the use of the classification schema providing a proof of concept based on a simulated selective forwarding attack affecting a parking and a sound WSN.
Description: Peer-reviewed
Language: English
ISSN: 1424-8220MIAR
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