Precision-Enhanced and Encryption-Mixed Privacy-Preserving Data Aggregation in Wireless Sensor Networks

Yang, Geng; Li, Sen; Xu, Xiaolong; Dai, Hua; Yang, Zhen

doi:10.1155/2013/427275

Cited by 21 publications

(27 citation statements)

References 17 publications

(34 reference statements)

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“…Yang et al proposed a precision-enhanced and encryptionmixed privacy-preserving data aggregation (PEPDA) [18]. The main focus of PEPDA is to reduce collision during data transmission and energy consumption, and how to compensate losses that are caused by the collision.…”

Section: B Privacy-preserving Protocolsmentioning

confidence: 99%

“…The main focus of PEPDA is to reduce collision during data transmission and energy consumption, and how to compensate losses that are caused by the collision. Based on the similar idea that proposed by Yang et al [18], Yao et al proposed two privacy-preserving data aggregation protocols: PDAAS (privacy-preserving data aggregation against non-colluded aggregator and sink), and PDACAS (privacy-preserving data aggregation against colluded aggregator and sink) for two-tiered WSNs with mobile nodes [19]. The PDAAS and PDACAS protocols also exploited perturbation concept to secure the sensor data, and thus provide the data privacy.…”

Section: B Privacy-preserving Protocolsmentioning

confidence: 99%

“…While, in a context-aware privacy, how to prevent adversaries from gaining access to the context information, for instance, identity, physical location and so on. Data-centric privacy has been addressed significantly (e.g., Zhang et al [16], Sicari et al [17], Yang et al [18] and Yao et al [19] schemes), but ignoring the node identity privacy. Similarly, in the context-aware privacy, recently, Debnath et al [14], Li et al [15] and Pnogaliur-Xiao [20] have paid a significant attention to the source node privacy and leaving out the destination node privacy.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Access Control Protocol With Node Privacy in Wireless Sensor Networks

et al. 2016

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Abstract-For preventing malicious nodes joining wireless sensor networks (WSNs), an access control mechanism is necessary for the trustworthy cooperation between the nodes. In addition to access control, recently, privacy has been an important topic regarding how to achieve privacy without disclosing the real identity of communicating entities in the WSNs. Based on elliptic curve cryptography (ECC), in this paper we present an access control protocol with node privacy (called ACP) for the WSN. The proposed scheme not only accomplishes the node authentication but also provides the identity privacy (i.e., source to destination and vice-versa) for the communicating entities. Compared with the current state of the art, the proposed solution can defend actively against attacks. The efficacy and efficiency of the proposed ACP are confirmed through the test-bed analysis and performance evaluations.

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Section: B Privacy-preserving Protocolsmentioning

confidence: 99%

Section: B Privacy-preserving Protocolsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Access Control Protocol With Node Privacy in Wireless Sensor Networks

et al. 2016

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“…The memory usage is also decreased by using a limited number of keys. Yang et al (2013) proposed a data aggregation scheme that enhances the precision and preserves the privacy mixed with encryption. This method reduces the energy consumption and collision using a data compensation algorithm and a randomized time slot during aggregated data transmission.…”

Section: Related Workmentioning

confidence: 99%

Development of an Energy- Efficient, Secure and Reliable Wireless Sensor Networks Routing Protocol Based on Data Aggregation and User Authentication

Saminathan

Karthik²

2013

American Journal of Applied Sciences

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Data aggregation protocols are required in Wireless Sensor Networks (WSNs) to improve the data accuracy and extend the network lifetime by reducing the energy consumption. The existing Data Aggregation-Optimal LEACH (DAO-LEACH) protocol for WSN is enhanced in terms of security and fault-tolerance based on Gracefully Degraded Data Aggregation (GDDA) to ensure the integrity of the aggregated data and Hybrid Layer User Authentication (HLUA) to ensure the confidentiality of the aggregated data. This data aggregation scheme rejects the false data from compromised and malfunctioning Sensor Nodes (SNs). HLUA consists of a combination of Secret Key Cryptography (SKC) method such as Message Authentication Code (MAC) algorithm and Public Key Cryptography (PKC) method such as Elliptic Curve Cryptography (ECC). MAC algorithm is used between the Cluster Heads (CHs) and SNs to fulfill lower power demand, while ECC is applied for User Authentication (UA) between CHs and users. The enhanced DAO-LEACH protocol is resistant to security attacks such as, replay attacks, node compromising attacks and impersonation attacks. It performs better in terms of energy consumption, number of nodes alive, End-to-End Delay (EED), false data detection and aggregation accuracy.

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“…Data aggregation [5,6,7,8,9,10,11,12,13,14] is one of the most important solutions in minimizing the transmitted data size in large-scale wireless networks and is also one of the most important tasks in other distributed applications [15,16,17,18,19,20,21]. Data aggregation can be achieved via In-server or In-network aggregation.…”

Section: Introductionmentioning

confidence: 99%

Secure and Cost-Effective Distributed Aggregation for Mobile Sensor Networks

Guo

Zhang

2016

Sensors

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Secure data aggregation (SDA) schemes are widely used in distributed applications, such as mobile sensor networks, to reduce communication cost, prolong the network life cycle and provide security. However, most SDA are only suited for a single type of statistics (i.e., summation-based or comparison-based statistics) and are not applicable to obtaining multiple statistic results. Most SDA are also inefficient for dynamic networks. This paper presents multi-functional secure data aggregation (MFSDA), in which the mapping step and coding step are introduced to provide value-preserving and order-preserving and, later, to enable arbitrary statistics support in the same query. MFSDA is suited for dynamic networks because these active nodes can be counted directly from aggregation data. The proposed scheme is tolerant to many types of attacks. The network load of the proposed scheme is balanced, and no significant bottleneck exists. The MFSDA includes two versions: MFSDA-I and MFSDA-II. The first one can obtain accurate results, while the second one is a more generalized version that can significantly reduce network traffic at the expense of less accuracy loss.

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Precision-Enhanced and Encryption-Mixed Privacy-Preserving Data Aggregation in Wireless Sensor Networks

Cited by 21 publications

References 17 publications

Access Control Protocol With Node Privacy in Wireless Sensor Networks

Access Control Protocol With Node Privacy in Wireless Sensor Networks

Development of an Energy- Efficient, Secure and Reliable Wireless Sensor Networks Routing Protocol Based on Data Aggregation and User Authentication

Secure and Cost-Effective Distributed Aggregation for Mobile Sensor Networks

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