dc.contributor.author | Li, Longpeng | |
dc.contributor.author | Xu, Guangquan | |
dc.contributor.author | Jiao, Litao | |
dc.contributor.author | Li, Xiaotong | |
dc.contributor.author | Wang, Hao | |
dc.contributor.author | Hu, Jing | |
dc.contributor.author | Xian, Hequn | |
dc.contributor.author | Lian, Wenjuan | |
dc.contributor.author | Gao, Honghao | |
dc.date.accessioned | 2019-08-07T12:35:07Z | |
dc.date.available | 2019-08-07T12:35:07Z | |
dc.date.created | 2019-07-27T10:10:26Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1551-3203 | |
dc.identifier.uri | http://hdl.handle.net/11250/2607468 | |
dc.description.abstract | With the widely deployment of wireless sensor networks in smart industrial systems, lots of unauthorized attacking from the adversary is greatly threating the security and privacy of the entire industrial systems, of which node replication attacks can hardly be defended since it is conducted in the physical layer. To solve this problem, we propose a secure random key distribution scheme, called SRKD, which provides a new method for the defense against the attack. Specifically, we combine a localized algorithm with a voting mechanism to support the detection and revocation of malicious nodes. We further change the meaning of the parameter s to help prevent the replication attack. Furthermore, the experimental results show that the detection ratio of replicate nodes exceeds 90% when number of network nodes reaches 200, which demonstrates the security and effectiveness of our scheme. Compared with existing state-of-the-art schemes, SRKD also has good storage and communication efficiency. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.title | A Secure Random Key Distribution Scheme Against Node Replication Attacks in Industrial Wireless Sensor Systems | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.journal | IEEE Transactions on Industrial Informatics | nb_NO |
dc.identifier.doi | 10.1109/TII.2019.2927296 | |
dc.identifier.cristin | 1712938 | |
dc.description.localcode | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | false | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |