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Multidimensional Trust-Based Anomaly Detection System in Internet of Things

  • Fangyu Gai
  • Jiexin Zhang
  • Peidong Zhu
  • Xinwen JiangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10251)

Abstract

Trust Management (TM) has been playing an important role in dealing with security and privacy issues in the Internet of Things (IoT). Following this trend, we propose a trust-based anomaly detection system which provides a closed loop of trustworthiness computing, decision-making and trust reevaluation. The proposed trust model considers multidimensional trust elements including reputation, Quality of Service (QoS) and social relationship, the result of which is employed to instruct the device to take appropriate security policies against its peers. Moreover, the detected anomaly event will trigger the reevaluation of the peers trustworthiness. To evaluate our system, we consider a shopping mall scenario with a great many of IoT devices, and the simulation results show our system achieves very low false alarm rate under proper trust level threshold.

Keywords

Internet of Things Trust management Anomaly detection 

Notes

Acknowledgment

This work is supported by the National Science Foundation of China under Grants Nos. 61272010 and 61572514.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Fangyu Gai
    • 1
  • Jiexin Zhang
    • 1
  • Peidong Zhu
    • 1
  • Xinwen Jiang
    • 1
    Email author
  1. 1.School of ComputerNational University of Defense TechnologyChangshaChina

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