Reliability Evaluation for Clustered WSNs under Malware Propagation
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 betwe...
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MDPI AG
2016-06-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/6/855 |
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doaj-d89f6f08a6c14b59b15bd5b9d78492cf2020-11-25T00:39:11ZengMDPI AGSensors1424-82202016-06-0116685510.3390/s16060855s16060855Reliability Evaluation for Clustered WSNs under Malware PropagationShigen Shen0Longjun Huang1Jianhua Liu2Adam C. Champion3Shui Yu4Qiying Cao5Department of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, ChinaDepartment of Computer Science and Engineering, Shaoxing University, Shaoxing 312000, ChinaCollege of Mathematics, Physics and Information Engineering, Jiaxing University, Jiaxing 314001, ChinaDepartment of Computer Science and Engineering, The Ohio State University, Columbus, OH 43210, USASchool of Information Technology, Deakin University, Burwood 3125, AustraliaCollege of Computer Science and Technology, Donghua University, Shanghai 201620, ChinaWe 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.http://www.mdpi.com/1424-8220/16/6/855wireless sensor networkreliability evaluationmalware propagationepidemic theorycontinuous-time Markov chainreliability theory |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Shigen Shen Longjun Huang Jianhua Liu Adam C. Champion Shui Yu Qiying Cao |
| spellingShingle |
Shigen Shen Longjun Huang Jianhua Liu Adam C. Champion Shui Yu Qiying Cao Reliability Evaluation for Clustered WSNs under Malware Propagation Sensors wireless sensor network reliability evaluation malware propagation epidemic theory continuous-time Markov chain reliability theory |
| author_facet |
Shigen Shen Longjun Huang Jianhua Liu Adam C. Champion Shui Yu Qiying Cao |
| author_sort |
Shigen Shen |
| title |
Reliability Evaluation for Clustered WSNs under Malware Propagation |
| title_short |
Reliability Evaluation for Clustered WSNs under Malware Propagation |
| title_full |
Reliability Evaluation for Clustered WSNs under Malware Propagation |
| title_fullStr |
Reliability Evaluation for Clustered WSNs under Malware Propagation |
| title_full_unstemmed |
Reliability Evaluation for Clustered WSNs under Malware Propagation |
| title_sort |
reliability evaluation for clustered wsns under malware propagation |
| publisher |
MDPI AG |
| series |
Sensors |
| issn |
1424-8220 |
| publishDate |
2016-06-01 |
| description |
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. |
| topic |
wireless sensor network reliability evaluation malware propagation epidemic theory continuous-time Markov chain reliability theory |
| url |
http://www.mdpi.com/1424-8220/16/6/855 |
| work_keys_str_mv |
AT shigenshen reliabilityevaluationforclusteredwsnsundermalwarepropagation AT longjunhuang reliabilityevaluationforclusteredwsnsundermalwarepropagation AT jianhualiu reliabilityevaluationforclusteredwsnsundermalwarepropagation AT adamcchampion reliabilityevaluationforclusteredwsnsundermalwarepropagation AT shuiyu reliabilityevaluationforclusteredwsnsundermalwarepropagation AT qiyingcao reliabilityevaluationforclusteredwsnsundermalwarepropagation |
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