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Reliability evaluation for clustered WSNs under malware propagation

Shen, Shigen, Huang, Longjun, Liu, Jianhua, Champion, Adam C., Yu, Shui and Cao, Qiying 2016, Reliability evaluation for clustered WSNs under malware propagation, Sensors, vol. 16, no. 6, pp. 1-16, doi: 10.3390/s16060855.

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Title Reliability evaluation for clustered WSNs under malware propagation
Author(s) Shen, Shigen
Huang, Longjun
Liu, Jianhua
Champion, Adam C.
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Cao, Qiying
Journal name Sensors
Volume number 16
Issue number 6
Start page 1
End page 16
Total pages 16
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2016
ISSN 0250-6874
1424-8220
Keyword(s) wireless sensor network
reliability evaluation
malware propagation
epidemic theory
continuous-time Markov chain
reliability theory
Summary We consider a clustered wireless sensor network (WSN) under epidemic-malware propagation conditions and solve the problem of how to evaluate its reliability so as to ensure efficient, continuous, and dependable transmission of sensed data from sensor nodes to the sink. Facing the contradiction between malware intention and continuous-time Markov chain (CTMC) randomness, we introduce a strategic game that can predict malware infection in order to model a successful infection as a CTMC state transition. Next, we devise a novel measure to compute the Mean Time to Failure (MTTF) of a sensor node, which represents the reliability of a sensor node continuously performing tasks such as sensing, transmitting, and fusing data. Since clustered WSNs can be regarded as parallel-serial-parallel systems, the reliability of a clustered WSN can be evaluated via classical reliability theory. Numerical results show the influence of parameters such as the true positive rate and the false positive rate on a sensor node's MTTF. Furthermore, we validate the method of reliability evaluation for a clustered WSN according to the number of sensor nodes in a cluster, the number of clusters in a route, and the number of routes in the WSN.
Language eng
DOI 10.3390/s16060855
Field of Research 080303 Computer System Security
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30085313

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.