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Analysis of the Impact of Denial of Service Attacks on Centralized Control in Smart Cities

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Abstract

The increasing threat of Denial of Service (DoS) attacks targeting Smart City systems impose unprecedented challenges in terms of service availability, especially against centralized control platforms due to their single point of failure issue. The European ARTEMIS co-funded project ACCUS (Adaptive Cooperative Control in Urban (sub) Systems) is focused on a centralized Integration and Coordination Platform (ICP) for urban subsystems to enable real-time collaborative applications across them and optimize their combined performance in Smart Cities. Hence, any outage of the ACCUS ICP, due to DoS attacks, can severely affect not only the interconnected subsystems but also the citizens. Consequently, it is of utmost importance for ACCUS ICP to be protected with the appropriate defense mechanisms against these attacks. Towards this direction, the measurement of the performance degradation of the attacked ICP server can be used for the selection of the most appropriate defense mechanisms. However, the suitable metrics are required to be defined. Therefore, this paper models and analyzes the impact of DoS attacks on the queue management temporal performance of the ACCUS ICP server in terms of system delay by using queueing theory.

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Acknowledgments

The research leading to these results has received funding from the ARTEMIS Joint Undertaking Project ACCUS (ACCUS–ARTEMIS-005-2012/GA number 333020).

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Correspondence to Evariste Logota .

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Logota, E., Mantas, G., Rodriguez, J., Marques, H. (2015). Analysis of the Impact of Denial of Service Attacks on Centralized Control in Smart Cities. In: Mumtaz, S., Rodriguez, J., Katz, M., Wang, C., Nascimento, A. (eds) Wireless Internet. WICON 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 146. Springer, Cham. https://doi.org/10.1007/978-3-319-18802-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-18802-7_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18801-0

  • Online ISBN: 978-3-319-18802-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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