Enabling Risk Management for Smart Infrastructures with an Anomaly Behavior Analysis Intrusion Detection System

Jesus Pacheco, Xiaoyang Zhu, Youakim Badr, Salim Hariri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The Internet of Things (IoT) connects not only computers and mobile devices, but it also interconnects smart buildings, homes, and cities, as well as electrical grids, gas, and water networks, automobiles, airplanes, etc. However, IoT applications introduce grand security challenges due to the increase in the attack surface. Current security approaches do not handle cybersecurity from a holistic point of view; hence a systematic cybersecurity mechanism needs to be adopted when designing IoTbased applications. In this work, we present a risk management framework to deploy secure IoT-based applications for Smart Infrastructures at the design time and the runtime. At the design time, we propose a risk management method that is appropriate for smart infrastructures. At the design time, our framework relies on the Anomaly Behavior Analysis (ABA) methodology enabled by the Autonomic Computing paradigm and an intrusion detection system to detect any threat that can compromise IoT infrastructures by. Our preliminary experimental results show that our framework can be used to detect threats and protect IoT premises and services.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages324-328
Number of pages5
ISBN (Electronic)9781509065585
DOIs
StatePublished - Oct 9 2017
Event2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017 - Tucson, United States
Duration: Sep 18 2017Sep 22 2017

Publication series

NameProceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017

Other

Other2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
CountryUnited States
CityTucson
Period9/18/179/22/17

Fingerprint

Intrusion detection
Risk management
Intelligent buildings
Mobile devices
Automobiles
Aircraft
Internet of things
Gases
Water

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Computational Mechanics

Cite this

Pacheco, J., Zhu, X., Badr, Y., & Hariri, S. (2017). Enabling Risk Management for Smart Infrastructures with an Anomaly Behavior Analysis Intrusion Detection System. In Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017 (pp. 324-328). [8064143] (Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FAS-W.2017.167
Pacheco, Jesus ; Zhu, Xiaoyang ; Badr, Youakim ; Hariri, Salim. / Enabling Risk Management for Smart Infrastructures with an Anomaly Behavior Analysis Intrusion Detection System. Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 324-328 (Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017).
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Pacheco, J, Zhu, X, Badr, Y & Hariri, S 2017, Enabling Risk Management for Smart Infrastructures with an Anomaly Behavior Analysis Intrusion Detection System. in Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017., 8064143, Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017, Institute of Electrical and Electronics Engineers Inc., pp. 324-328, 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017, Tucson, United States, 9/18/17. https://doi.org/10.1109/FAS-W.2017.167

Enabling Risk Management for Smart Infrastructures with an Anomaly Behavior Analysis Intrusion Detection System. / Pacheco, Jesus; Zhu, Xiaoyang; Badr, Youakim; Hariri, Salim.

Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 324-328 8064143 (Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Pacheco J, Zhu X, Badr Y, Hariri S. Enabling Risk Management for Smart Infrastructures with an Anomaly Behavior Analysis Intrusion Detection System. In Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 324-328. 8064143. (Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017). https://doi.org/10.1109/FAS-W.2017.167