Secure MAX/MIN Queries in Two-Tiered Wireless Sensor Networks

Dai, Hua; Wang, Min; Yi, Xun; Yang, Geng; Bao, Jingjing

doi:10.1109/access.2017.2731819

Cited by 15 publications

(7 citation statements)

References 26 publications

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“…(i) Prefix membership verification: we consider to take it as one of our basic techniques to support the encrypted data-based P/S service. There are some works [25][26][27] mentioned that the storage of PMV is costly, but it is a very effective method to transform the verification of whether a number is in a range (i.e. data comparison problem) to several verifications of whether two numbers are equal (i.e.…”

Section: Preliminariesmentioning

confidence: 99%

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Cloud‐assisted secure and conjunctive publish/subscribe service in smart grids

Wen

Zhang

2020

IET Information Security

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Section: Preliminariesmentioning

confidence: 99%

“…Due to this advantage, encrypted databased PMV is lightweight and it can provide strong resistance to the CPA attack. Moreover, none of the prior works [25][26][27] provide better solutions to the data comparison problem. Thus we still use it in the proposed protocol.…”

Section: Preliminariesmentioning

confidence: 99%

Cloud‐assisted secure and conjunctive publish/subscribe service in smart grids

Wen

Zhang

2020

IET Information Security

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“…Privacy preserving max/min query schemes in twotiered sensor networks are proposed in [14][15][16][17], which use the prefix membership verification scheme to privately compute the maximum or minimum data item. But their schemes cannot be suitable for cluster-based sensor networks.…”

Section: Related Workmentioning

confidence: 99%

Secure and Efficient Cluster-Based Range Query Processing in Wireless Sensor Networks

Zhou

Shan

Chen

2018

Journal of Electrical and Computer Engineering

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In wireless sensor networks, preserving privacy is more important and has attracted more attentions. Protecting data and sensor privacy while collecting and computing query results is a challenge. In cluster-based sensor networks, when a user queries a sensitive data, the adversaries can monitor original node or gain the data in cluster node. To deal with this problem, we propose a secure and efficient scheme for cluster-based query processing in wireless sensor networks. To preserve location privacy of sensors, we use anonymity method to confuse adversaries. To protect the sensitive data, we use prefix membership verification method to prevent adversaries from gaining sensitive messages collected by sensor nodes. And we analyze the security and communication cost. The results show that our scheme can efficiently protect privacy in query processing.

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“…Correspondingly, the relevant max-min algebra has attracted some scholars' attention [14]- [17], [35]. The max-min composition and mechanism have been widely applied in engineering management and control [8]- [13].…”

Section: Introductionmentioning

confidence: 99%

Interval Solution to Fuzzy Relation Inequality With Application in P2P Educational Information Resource Sharing Systems

2021

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Max-min fuzzy relation inequalities have recently been introduced to describe the peerto-peer (P2P) network systems. It is well known that the complete solution set of the max-min fuzzy relation system is fully determined by its minimal solutions. However, solving all the minimal solutions has been proven to be equivalent to the set-covering problem, which is NP-hard. Without solving the complete solution set, some specific solutions can be obtained through the corresponding fuzzy relation optimization problems. However, these solutions are usually unstable and fragile. Any minor fluctuations to the components of these specific solutions will cause them to be no longer feasible. In this work, we define and study the widest interval solution of a max-min fuzzy relation inequality system for the first time. The interval solution allows the solution to fluctuate within some range. The fluctuation range is determined by the width of the interval solution. We propose a novel resolution method for searching for the widest interval solution. The resolution method is carried out by detailed procedures and illustrated by a numerical example.

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Secure MAX/MIN Queries in Two-Tiered Wireless Sensor Networks

Cited by 15 publications

References 26 publications

Cloud‐assisted secure and conjunctive publish/subscribe service in smart grids

Cloud‐assisted secure and conjunctive publish/subscribe service in smart grids

Secure and Efficient Cluster-Based Range Query Processing in Wireless Sensor Networks

Interval Solution to Fuzzy Relation Inequality With Application in P2P Educational Information Resource Sharing Systems

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