Secure Data Distribution Scheme with Two-Hop Survival Strategy for Unattended WSNs
For distributed data storage in Unattended Wireless Sensor Networks (UWSNs), security issues have been focused on by extensive researches in recent years. In this paper, an enhanced, reliable, and secure data distribution scheme based on erasure codes for UWSNs is proposed, which adapt the MOVE-ONCE...
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2015-10-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2015/712598 |
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doaj-cc7e61ec022c49b1ae3993a0fdbc062c2020-11-25T03:09:24ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-10-011110.1155/2015/712598712598Secure Data Distribution Scheme with Two-Hop Survival Strategy for Unattended WSNsWei ChengYong LiYi JiangXipeng YinFor distributed data storage in Unattended Wireless Sensor Networks (UWSNs), security issues have been focused on by extensive researches in recent years. In this paper, an enhanced, reliable, and secure data distribution scheme based on erasure codes for UWSNs is proposed, which adapt the MOVE-ONCE survival strategy. In the proposed scheme, two-hop neighbor set has been utilized as data shareholders of data distribution. Through the analysis, we can find that there is more number of candidate secure data holders in two-hop neighbor set than one-hop neighbor set. Thus our new scheme could further enhance both probabilistic Backward Secrecy (BSe) and the reliability on data retrieval. Theoretical analysis and dense simulations show advantages of our new scheme which is compared with several previous related schemes proposed for UWSNs.https://doi.org/10.1155/2015/712598 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wei Cheng Yong Li Yi Jiang Xipeng Yin |
spellingShingle |
Wei Cheng Yong Li Yi Jiang Xipeng Yin Secure Data Distribution Scheme with Two-Hop Survival Strategy for Unattended WSNs International Journal of Distributed Sensor Networks |
author_facet |
Wei Cheng Yong Li Yi Jiang Xipeng Yin |
author_sort |
Wei Cheng |
title |
Secure Data Distribution Scheme with Two-Hop Survival Strategy for Unattended WSNs |
title_short |
Secure Data Distribution Scheme with Two-Hop Survival Strategy for Unattended WSNs |
title_full |
Secure Data Distribution Scheme with Two-Hop Survival Strategy for Unattended WSNs |
title_fullStr |
Secure Data Distribution Scheme with Two-Hop Survival Strategy for Unattended WSNs |
title_full_unstemmed |
Secure Data Distribution Scheme with Two-Hop Survival Strategy for Unattended WSNs |
title_sort |
secure data distribution scheme with two-hop survival strategy for unattended wsns |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2015-10-01 |
description |
For distributed data storage in Unattended Wireless Sensor Networks (UWSNs), security issues have been focused on by extensive researches in recent years. In this paper, an enhanced, reliable, and secure data distribution scheme based on erasure codes for UWSNs is proposed, which adapt the MOVE-ONCE survival strategy. In the proposed scheme, two-hop neighbor set has been utilized as data shareholders of data distribution. Through the analysis, we can find that there is more number of candidate secure data holders in two-hop neighbor set than one-hop neighbor set. Thus our new scheme could further enhance both probabilistic Backward Secrecy (BSe) and the reliability on data retrieval. Theoretical analysis and dense simulations show advantages of our new scheme which is compared with several previous related schemes proposed for UWSNs. |
url |
https://doi.org/10.1155/2015/712598 |
work_keys_str_mv |
AT weicheng securedatadistributionschemewithtwohopsurvivalstrategyforunattendedwsns AT yongli securedatadistributionschemewithtwohopsurvivalstrategyforunattendedwsns AT yijiang securedatadistributionschemewithtwohopsurvivalstrategyforunattendedwsns AT xipengyin securedatadistributionschemewithtwohopsurvivalstrategyforunattendedwsns |
_version_ |
1724662699118297088 |