Secure Two-Party Distance Computation Protocols with a Semihonest Third Party and Randomization for Privacy Protection in Wireless Sensor Networks
Scenarios in which two nodes who distrust each other in wireless sensor networks (WSNs) would like to know the distance between them are considered. The scenario is designed to protect the private information of WSNs, in this case each node's location, from the other nodes and from a passive at...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi - SAGE Publishing
2015-07-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2015/475150 |
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author | Haiping Huang Tianhe Gong Ping Chen Guoxia Qiu Ruchuan Wang |
author_facet | Haiping Huang Tianhe Gong Ping Chen Guoxia Qiu Ruchuan Wang |
author_sort | Haiping Huang |
collection | DOAJ |
description | Scenarios in which two nodes who distrust each other in wireless sensor networks (WSNs) would like to know the distance between them are considered. The scenario is designed to protect the private information of WSNs, in this case each node's location, from the other nodes and from a passive attacker. The goal of the present work is to provide two novel and secure two-party distance computation protocols based on a semihonest model, the first with aid of a third party and the second based on randomization technique. Both of these protocols can extend the calculated value into a real number field. The output of the distance computation and the intermediate values in the proposed protocols are also private and not accessible to a third party or any other attackers. When executing these two protocols, security is guaranteed, and the performances of communication and computation of them are found to be satisfactory when compared to those of other similar protocols. |
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id | doaj.art-93f6552a0a7f492194cad2ed054aa83b |
institution | Directory Open Access Journal |
issn | 1550-1477 |
language | English |
last_indexed | 2025-02-18T12:40:27Z |
publishDate | 2015-07-01 |
publisher | Hindawi - SAGE Publishing |
record_format | Article |
series | International Journal of Distributed Sensor Networks |
spelling | doaj.art-93f6552a0a7f492194cad2ed054aa83b2024-11-02T04:12:01ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-07-011110.1155/2015/475150475150Secure Two-Party Distance Computation Protocols with a Semihonest Third Party and Randomization for Privacy Protection in Wireless Sensor NetworksHaiping Huang0Tianhe Gong1Ping Chen2Guoxia Qiu3Ruchuan Wang4 College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China College of Computer, Nanjing University of Posts and Telecommunications, Mail Box 157, No. 66, Xinmofan Road, Nanjing 210003, China Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education, Nanjing 210003, ChinaScenarios in which two nodes who distrust each other in wireless sensor networks (WSNs) would like to know the distance between them are considered. The scenario is designed to protect the private information of WSNs, in this case each node's location, from the other nodes and from a passive attacker. The goal of the present work is to provide two novel and secure two-party distance computation protocols based on a semihonest model, the first with aid of a third party and the second based on randomization technique. Both of these protocols can extend the calculated value into a real number field. The output of the distance computation and the intermediate values in the proposed protocols are also private and not accessible to a third party or any other attackers. When executing these two protocols, security is guaranteed, and the performances of communication and computation of them are found to be satisfactory when compared to those of other similar protocols.https://doi.org/10.1155/2015/475150 |
spellingShingle | Haiping Huang Tianhe Gong Ping Chen Guoxia Qiu Ruchuan Wang Secure Two-Party Distance Computation Protocols with a Semihonest Third Party and Randomization for Privacy Protection in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
title | Secure Two-Party Distance Computation Protocols with a Semihonest Third Party and Randomization for Privacy Protection in Wireless Sensor Networks |
title_full | Secure Two-Party Distance Computation Protocols with a Semihonest Third Party and Randomization for Privacy Protection in Wireless Sensor Networks |
title_fullStr | Secure Two-Party Distance Computation Protocols with a Semihonest Third Party and Randomization for Privacy Protection in Wireless Sensor Networks |
title_full_unstemmed | Secure Two-Party Distance Computation Protocols with a Semihonest Third Party and Randomization for Privacy Protection in Wireless Sensor Networks |
title_short | Secure Two-Party Distance Computation Protocols with a Semihonest Third Party and Randomization for Privacy Protection in Wireless Sensor Networks |
title_sort | secure two party distance computation protocols with a semihonest third party and randomization for privacy protection in wireless sensor networks |
url | https://doi.org/10.1155/2015/475150 |
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