CSRQ: Communication-Efficient Secure Range Queries in Two-Tiered Sensor Networks

Dai, Hua; Ye, Qingqun; Yang, Geng; Xu, Jia; He, Ruiliang

doi:10.3390/s16020259

Cited by 10 publications

(18 citation statements)

References 22 publications

(40 reference statements)

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“…Many range query schemes are proposed to protect privacy of range queries. CSRQ [3] employs an encoding mechanism and encrypted constraint chain to preserve data privacy and query result integrity. In [11], Zhang et al provided an efficient secure range query protocol.…”

Section: Related Workmentioning

confidence: 99%

“…• z H + z D + e t + e r + 2(n + 1)(2w − 2)(w + 1) + e t + e r . (6) According to (3) and (6), Figure 4 shows the total energy expended in the systems as the prefix number bits increase from 8 bits to 32 bits and the energy expended in the level of privacy increases from 1 to 45, for the scenario where each HMAC data and encrypted data are 256 bits. We assume that each sensor collects 100 data items at each time slot.…”

Section: (4)mentioning

confidence: 99%

“…Recently, many existing privacy techniques can be employed in sensor network scenarios. For example, a target region transformation technique [2], range query [3][4][5][6], and top-k query [7,8] have been well addressed. However, these schemes are not suitable for cluster-based query processing in wireless sensor networks.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Related Workmentioning

confidence: 99%

Section: (4)mentioning

confidence: 99%

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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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“…With the development of electronic technology and Internet communication technology, the cost of collecting and processing multimedia information (such as images and audio) is getting lower and lower, and the scalar information collected by traditional sensor networks (such as temperature, humidity, pressure) becomes unable to satisfy the diversified application of the information, therefore, the wireless sensor networks (WSN) emerged [1][2][3][4][5][6][7]. Featured by low-cost, rapid network establishment, dynamic topology, and multi-hop routing, WSN is widely applied in industries such as environmental monitoring and industrial technology.…”

Section: Introductionmentioning

confidence: 99%

A WSN positioning algorithm based on 3D discrete chaotic mapping

Wang

et al. 2019

J Wireless Com Network

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Wireless sensor networks are featured by restricted network resources, which is quite possible to result in low positioning precision and serious time delay in positioning, accordingly, the overall network positioning quality may be reduced; to improve the positioning precision of WSN, based on the DV-HOP positioning algorithm, two aspects of the node positioning were improved from the error precision and least square estimation; thus, a WSN positioning algorithm based on 3D discrete chaotic mapping was proposed: first, a 3D discrete chaotic mapping was constructed, the Chaos Optimization Algorithm was introduced into the positioning error precision calculation, and the unknown nodes were positioned by introducing the least square estimation; second, a simulation experiment of new algorithm was performed from the aspects of communication radius and topological structure. The experimental results showed that the algorithm proposed in this paper can effectively reduce the positioning error caused by calculation and improved the positioning precision. Further, based on the algorithm of this paper, the moving mechanism could be introduced to make dynamic planning for overall network resources, so that the energy cost of the algorithm of this paper in the confirmation process of WSN network terminal could be further reduced to make the algorithm more valuable in engineering field.

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“…Traditional secure query protocols are constrained by environmental factors, node resources and network topology. The attempts to improve these protocols mainly focus on the features of attack modes, without addressing new security threats like attacks on clustered and multi-layer networks [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

A Secure Query Protocol for Multi-layer Wireless Sensor Networks Based on Internet of Things

Lin¹,

Wu²,

Gao³

et al. 2019

RIA

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This paper puts forward a secure query protocol for wide-range multi-layer WSNs based on the Internet of Things (IoT), which protects data transmission from three aspects: network security, attack mode and privacy protection. Drawing the merits from the Range Doppler (R-D) algorithm and Z-O encoding, our protocol only needs to compare the perceptual data nodes with the radius of the query interval once, which greatly improves the query efficiency. The embedded Z-O codes can transform the comparison into solving the intersection of the two sets. In addition, the hash-based message authentication code (HMAC) was introduced to achieve unidirectional protection of the original data. The simulation results show that our protocol outperforms the traditional protocols in query time, coding length and bucket mechanism, and enjoys high power efficiency, low storage cost and good query accuracy.

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CSRQ: Communication-Efficient Secure Range Queries in Two-Tiered Sensor Networks

Cited by 10 publications

References 22 publications

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

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

A WSN positioning algorithm based on 3D discrete chaotic mapping

A Secure Query Protocol for Multi-layer Wireless Sensor Networks Based on Internet of Things

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