Representation for uncertainty trust of WSN based on lightweight-cloud

According to the characteristic of qualitative and quantitative uncertainty conversion ability of cloud model, a lightweight cloud model was designed, and the uncertainty representation of direct trust, indirect trust, and recommenda-tion trust in WSN was proposed. The computation cost of lightweigh...

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Main Authors: Xiao-bin XU, Guang-wei ZHANG, Shang-guang WANG, Qi-bo SUN, Fang-chun YANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2014-02-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.009/
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author Xiao-bin XU
Guang-wei ZHANG
Shang-guang WANG
Qi-bo SUN
Fang-chun YANG
author_facet Xiao-bin XU
Guang-wei ZHANG
Shang-guang WANG
Qi-bo SUN
Fang-chun YANG
author_sort Xiao-bin XU
collection DOAJ
description According to the characteristic of qualitative and quantitative uncertainty conversion ability of cloud model, a lightweight cloud model was designed, and the uncertainty representation of direct trust, indirect trust, and recommenda-tion trust in WSN was proposed. The computation cost of lightweight cloud model is quite low so that a single node can build lightweight cloud model independently and evaluate the trust of other nodes to find out the safety hazards in WSN. Simulations in multiple scenarios verify the effectiveness of the proposed method. Simulation results show that this method overcomes the contradiction between the sensitivity and tolerance of traditional trust management framework, furthermore, it's not only tolerant of abnormal conditions, but also sensitive to multiple attacks.
format Article
id doaj-art-5eaa4f79c3074916a73c7b9b1b97e7f2
institution Kabale University
issn 1000-436X
language zho
publishDate 2014-02-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-5eaa4f79c3074916a73c7b9b1b97e7f22025-01-14T06:42:42ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-02-0135636959679421Representation for uncertainty trust of WSN based on lightweight-cloudXiao-bin XUGuang-wei ZHANGShang-guang WANGQi-bo SUNFang-chun YANGAccording to the characteristic of qualitative and quantitative uncertainty conversion ability of cloud model, a lightweight cloud model was designed, and the uncertainty representation of direct trust, indirect trust, and recommenda-tion trust in WSN was proposed. The computation cost of lightweight cloud model is quite low so that a single node can build lightweight cloud model independently and evaluate the trust of other nodes to find out the safety hazards in WSN. Simulations in multiple scenarios verify the effectiveness of the proposed method. Simulation results show that this method overcomes the contradiction between the sensitivity and tolerance of traditional trust management framework, furthermore, it's not only tolerant of abnormal conditions, but also sensitive to multiple attacks.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.009/WSN securitytrust managementintrusion toleranceintrusion recognitioncloud model
spellingShingle Xiao-bin XU
Guang-wei ZHANG
Shang-guang WANG
Qi-bo SUN
Fang-chun YANG
Representation for uncertainty trust of WSN based on lightweight-cloud
Tongxin xuebao
WSN security
trust management
intrusion tolerance
intrusion recognition
cloud model
title Representation for uncertainty trust of WSN based on lightweight-cloud
title_full Representation for uncertainty trust of WSN based on lightweight-cloud
title_fullStr Representation for uncertainty trust of WSN based on lightweight-cloud
title_full_unstemmed Representation for uncertainty trust of WSN based on lightweight-cloud
title_short Representation for uncertainty trust of WSN based on lightweight-cloud
title_sort representation for uncertainty trust of wsn based on lightweight cloud
topic WSN security
trust management
intrusion tolerance
intrusion recognition
cloud model
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.009/
work_keys_str_mv AT xiaobinxu representationforuncertaintytrustofwsnbasedonlightweightcloud
AT guangweizhang representationforuncertaintytrustofwsnbasedonlightweightcloud
AT shangguangwang representationforuncertaintytrustofwsnbasedonlightweightcloud
AT qibosun representationforuncertaintytrustofwsnbasedonlightweightcloud
AT fangchunyang representationforuncertaintytrustofwsnbasedonlightweightcloud