Anomaly Behavior Analysis System for ZigBee in smart buildings

Bilal Al Baalbaki, Jesus Pacheco, Cihan Tunc, Salim Hariri, Youssif Al-Nashif

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

Abstract

Smart Building (SB) exploits advances in information and communication technologies in order to provide the next generation of information and automation services that will significantly reduce operational costs and improve performance and efficiency. SB elements are typically interconnected using short range wireless communication technologies such as ZigBee, which is the most used wireless communication protocol for SBs. However, ZigBee protocol has multiple vulnerabilities that can be exploited by cyberattacks. In this paper, we present an Anomaly Behavior Analysis System (ABAS) for ZigBee protocol to be used in SBs. Our ABAS can detect both known and unknown ZigBee attacks with a high detection rate and low false alarms. Additionally, after detection, our system classifies the attack based on the impact, origin, and destination. We evaluate our approach by launching many attack scenarios such as DoS, Flooding, and Pulse DoS attacks, and then we compare our results with other intrusion detection systems such as secure HAN, signature IDS, and specification IDS.

Original languageEnglish
Title of host publication2015 IEEE/ACS 12th International Conference of Computer Systems and Applications, AICCSA 2015
PublisherIEEE Computer Society
Volume2016-July
ISBN (Electronic)9781509004782
DOIs
StatePublished - 7 Jul 2016
Externally publishedYes
Event12th IEEE/ACS International Conference of Computer Systems and Applications, AICCSA 2015 - Marrakech, Morocco
Duration: 17 Nov 201520 Nov 2015

Conference

Conference12th IEEE/ACS International Conference of Computer Systems and Applications, AICCSA 2015
CountryMorocco
CityMarrakech
Period17/11/1520/11/15

Keywords

  • Behavior Analysis
  • Cyber Security
  • Intrusion Detection System
  • Smart Building
  • ZigBee

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  • Cite this

    Al Baalbaki, B., Pacheco, J., Tunc, C., Hariri, S., & Al-Nashif, Y. (2016). Anomaly Behavior Analysis System for ZigBee in smart buildings. In 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications, AICCSA 2015 (Vol. 2016-July). [7507187] IEEE Computer Society. https://doi.org/10.1109/AICCSA.2015.7507187