RCDA: Recoverable Concealed Data Aggregation for Data Integrity in Wireless Sensor Networks

Chen, Chien‐Ming; Lin, Yue-Hsun; Lin, Yen‐Ting; Sun, Hung–Min

doi:10.1109/tpds.2011.219

Cited by 110 publications

(21 citation statements)

References 20 publications

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“…The base station can recover all sensing data, even it can be aggregated, and this property was called as recoverable [19]. Ozdemir et al formulated a hierarchical secret data aggregation for WSN.…”

Section: Related Workmentioning

confidence: 99%

SAC-TA: A Secure Area Based Clustering for Data Aggregation Using Traffic Analysis in WSN

Gopalakrishnan¹,

Arumugam²,

Lakshmi³

et al. 2016

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Clustering is the most significant task characterized in Wireless Sensor Networks (WSN) by data aggregation through each Cluster Head (CH). This leads to the reduction in the traffic cost. Due to the deployment of the WSN in the remote and hostile environments for the transmission of the sensitive information, the sensor nodes are more prone to the false data injection attacks. To overcome these existing issues and enhance the network security, this paper proposes a Secure Area based Clustering approach for data aggregation using Traffic Analysis (SAC-TA) in WSN. Here, the sensor network is clustered into small clusters, such that each cluster has a CH to manage and gather the information from the normal sensor nodes. The CH is selected based on the predefined time slot, cluster center, and highest residual energy. The gathered data are validated based on the traffic analysis and One-time Key Generation procedures to identify the malicious nodes on the route. It helps to provide a secure data gathering process with improved energy efficiency. The performance of the proposed approach is compared with the existing Secure Data Aggregation Technique (SDAT). The proposed SAC-TA yields lower average energy consumption rate, lower end-to-end delay, higher average residual energy, higher data aggregation accuracy and false data detection rate than the existing technique.

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Section: Related Workmentioning

confidence: 99%

SAC-TA: A Secure Area Based Clustering for Data Aggregation Using Traffic Analysis in WSN

Gopalakrishnan¹,

Arumugam²,

Lakshmi³

et al. 2016

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“…In protocol proposed by authors of [8] Basestation (BS) can regain all sensing data even though these data has been aggregated. The authors named this property as "recoverable.…”

Section: Protocols For Data Authentication and Integritymentioning

confidence: 99%

“…CMT [17], paillier, Elgamal, RSA. We are using additive homomorphic encryption schemes mentioned in [8] and [17].…”

Section: Proposed Protocol 41 Preliminariesmentioning

confidence: 99%

Secure Aggregation of Exact Sum Queries with Integrity Protection for Wireless Sensor Networks

Desai¹,

Jinwala²

2013

IJCA

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The in-network processing consists of data aggregation operations e.g. Summation, averaging, min-max value, variance etc. Data aggregation reduces the number of message transmitted to the Wireless Sensor Network(WSN) by calculating the sub aggregation results at the intermediate nodes. Furthermore the sensor nodes are deployed in open and unsafe environments, so the security of sensed and aggregated data is crucial. This situation necessitates the investigation of the Secure Data Aggregation (SDA) protocol. Many protocols have been proposed concerning finding answers for SUM queries in WSNs but most of them either offer only approximate answers for SUM queries or do not live up to all the security requirements. The focus of the research in this paper is to investigate a SDA protocol which satisfies all the security requirements viz. Confidentiality, Privacy, Authentication, Integrity and Freshness of the query result and also returns the exact answers for SUM queries (as well as their derivatives, e.g., COUNT, AVG, etc). The protocol applies homomorphic encryption that promises the privacy as well as confidentiality of data sent by sensor nodes with innetwork aggregation. The protocol achieves integrity of sensed data by means of secret sharing scheme, message authentication code (MAC) and data diffusion methods. Proposed scheme satisfies all the essential security requirements for secure in-network aggregation. This scheme does not impose extra overhead in communication. Therefore, the scheme is best desirable for resource-restrain WSNs. General TermsSecurity in Wireless sensor network, Integrity protection for secure data aggregation, Data Aggregation

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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%

“…To solve this problem, several secure data aggregation schemes have been proposed, such as synopsis diffusion-based [7,8,9], shuffling-based [6], and homomorphic encryption-based [10,11,12,13,14] data aggregation. Homomorphic encryption-based data aggregation, which has a better theoretical foundation, will be used in the proposed schemes.…”

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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RCDA: Recoverable Concealed Data Aggregation for Data Integrity in Wireless Sensor Networks

Cited by 110 publications

References 20 publications

SAC-TA: A Secure Area Based Clustering for Data Aggregation Using Traffic Analysis in WSN

SAC-TA: A Secure Area Based Clustering for Data Aggregation Using Traffic Analysis in WSN

Secure Aggregation of Exact Sum Queries with Integrity Protection for Wireless Sensor Networks

Secure and Cost-Effective Distributed Aggregation for Mobile Sensor Networks

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