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A secure routing protocol with regional partitioned clustering and Beta trust management in smart home

  • Zhen HongEmail author
  • Qian Shao
  • Xiaojing Liao
  • Raheem Beyah
Article
  • 42 Downloads

Abstract

With the emergence of the Internet of Things (IoT) in recent years, the security has been significantly called more and more people’s attention on wireless communication between the devices and the human-beings, as well as the devices to devices. Smart home (SH), as a small-scale example of the smart application-based field, has benefited from the concept of IoT since it uses an indoor data-centric sensor network. In SH, routing schemes are widely utilized for data aggregation purposes. However, there are three main issues, which can considerably affect the current execution of routing protocol in SH: (1) lack of technical methods for precisely regional division of the network, (2) the difficulty of differentiating data among various functional regions, and (3) the vulnerability of network with advanced internal routing attacks. To address the aforementioned issues, in this paper, a two-layer cluster-based network model for indoor structured SH and a novel Beta-based trust management (BTM) scheme are proposed to defend various types of internal attacks by integrating the variation of trust value, threshold, and evaluation. The proposed structure forms a secure hierarchical routing protocol called SH-PCNBTM to effectively support the data transmission service in SH networks. The performance of SH-PCNBTM is thoroughly evaluated by using a set of comprehensive simulations. We will show that the proposed routing protocol not only ensures the even distribution of cluster-heads in each sub-region, but it also identifies and isolates the malicious sensor nodes accurately and rapidly compared with other trust-based hierarchical routing protocols.

Keywords

Beta trust management Hierarchical routing protocol Internal attack Regional partitioned clustering Smart home 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China under Grant Nos. 61304256 and 51708487, Zhejiang Provincial Natural Science Foundation of China (LQ16E080006), Zhejiang Province Public Technology Project (2017C33153, LGF18F010008), Young Researchers Foundation of Zhejiang Provincial Top Key Academic Discipline of Mechanical Engineering and Zhejiang Sci-Tech University Key Laboratory (ZSTUME01B15), New Century 151 Talent Project of Zhejiang Province, 521 Talent Project of Zhejiang Sci-Tech University, and Young and Middle-aged Talents Foundation of Zhejiang Provincial Top Key Academic Discipline of Mechanical Engineering.

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Institute of Cyberspace SecurityZhejiang University of TechnologyHangzhouChina
  2. 2.Faculty of Mechanical Engineering and AutomationZhejiang Sci-Tech UniversityHangzhouChina
  3. 3.School of Electrical and Computer EngineeringGeorgia Institute of TechnologyAtlantaUSA
  4. 4.Department of Computer ScienceIndiana University BloomingtonBloomingtonUSA

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