SEEDA: Secure end-to-end data aggregation in Wireless Sensor Networks

Poornima, A. S.; Amberker, B. B.

doi:10.1109/wocn.2010.5587353

Cited by 26 publications

(18 citation statements)

References 19 publications

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“…Decryption is performed as described in eq. (15) and (16). SUM: S1=D 2 -Dif sum , SUM: S2= k right bit shift D 1 (20) Now that BS posses all the information required for integrity verification it compares sum of secret SEC T it has calculated with received one.…”

Section: Integrity Checking and Sum Results Generationmentioning

confidence: 99%

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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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Section: Integrity Checking and Sum Results Generationmentioning

confidence: 99%

“…In literature many approaches [7,[11][12][13][14][15][16][17] for providing authentication and data integrity is proposed. Some provides perfect authentication but they either impose extra overhead for computation or provides delayed authentication.…”

Section: Protocols For Data Authentication and Integritymentioning

confidence: 99%

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

Desai¹,

Jinwala²

2013

IJCA

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“…However, this scheme requires that identifiers of all participants are sent to ensure accuracy of the aggregated results, which increases the transmission overhead. The authors of [17] proposed an approach to avoid identifiers transmission; the algorithm requires that all nodes respond to the query from the base station and values of nodes having no sensed data are set to zero.…”

Section: Related Workmentioning

confidence: 99%

Data aggregation with end-to-end confidentiality and integrity for large-scale wireless sensor networks

Cui

Shao

et al. 2017

Peer-to-Peer Netw. Appl.

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In wireless sensor networks, data aggregation allows in-network processing, which leads to reduced packet transmissions and reduced redundancy, and thus is helpful to prolong the overall lifetime of wireless sensor networks. In current studies, Elliptic Curve ElGamal homomorphic encryption algorithm has been widely used to protect end-to-end data confidentiality. However, these works suffer from the expensive mapping function during decryption. If the aggregated results are huge, the base station has no way to gain the original data due to the hardness of the elliptic curve discrete logarithm problem. Therefore, these schemes are unsuitable for the large-scale WSNs. In this paper, we propose a secure energy-saving data aggregation scheme designed for the large-scale WSNs. We employ Okamoto-Uchiyama homomorphic encryption algorithm to protect end-to-end data confidentiality, use MAC to achieve in-network false data filtering, and utilize the homomorphic MAC algorithm to achieve end-to-end data integrity. Two popular IEEE 802.15.4-compliant wireless sensor network platforms, Tmote Sky and iMote 2 have been used to evaluate the efficiency and feasibility of our scheme. The results demonstrate that our scheme achieved better performance in reducing energy consumption.Moreover, system delay, especially decryption delay at the base station, has been reduced when compared to other state-of-art methods.

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“…Secure End-to-End Data Aggregation in Wireless Sensor Networks [15] this paper represents a protocol for secure data aggregation, called secure end-to-end data aggregation, it provides end-to end data privacy of the aggregated data, the data is encrypted at sensor nodes and decrypted by the base station .This protocol uses additive homomorphic encryption technique for encryption of the data.…”

Section: Literature Surveymentioning

confidence: 99%

Survey on Straining Attacker

2015

IJSR

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A Wireless Sensor Network can be defined as a group of sensors which are distributed spatially to monitor physical or spatial conditions such as temperature, volcano, fire monitoring, sound, urban sensing, pressure etc. In a large WSN, the data aggregation significantly reduces communication overhead and energy consumption. In order to pass data, although data in-network aggregation was used and it reduced the problem of communication overhead and transmission loss but failed in computing doublecounting sensitive aggregates at the Base Station. The research community proposed synopsis diffusion to eliminate this problem but it did not helped in securing the network against the problem of attacks caused by the compromised nodes, resulting in the false computation of aggregate. In this paper, synopsis diffusion is being made secure against the attacks by compromised nodes. To do so, an algorithm is being presented which can securely compute aggregates in the presence of such attacks. This algorithm is named as Attack-Resilient algorithm. The attack-resilient algorithm computes the true aggregate by filtering out the contributions of compromised nodes in the aggregation hierarchy. Extensive studies and performance analysis have shown that the proposed algorithm i.e. AttackResilient algorithm is more effective and outperforms other existing approaches.

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SEEDA: Secure end-to-end data aggregation in Wireless Sensor Networks

Cited by 26 publications

References 19 publications

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

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

Data aggregation with end-to-end confidentiality and integrity for large-scale wireless sensor networks

Survey on Straining Attacker

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