Confidentiality and integrity for data aggregation in WSN using peer monitoring

Pietro, Roberto Di; Michiardi, Pietro; Molva, Refik

doi:10.1002/sec.93

Cited by 39 publications

(17 citation statements)

References 43 publications

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“…The authors in [19] provide a symmetric key algorithms which provides data confidentiality and integrity. The protocol provides security against data injection by attackers during aggregation as well as forwarding.…”

Section: )R(x))mentioning

confidence: 99%

Secure Hierarchical Data Aggregation in Wireless Sensor Networks

Albath

Madria

2009

2009 IEEE Wireless Communications and Networking Conference

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Abstract-Communication in wireless sensor networks uses the majority of a sensor's limited energy. Using aggregation in wireless sensor network reduces the overall communication cost. Security in wireless sensor networks entails many different challenges. Traditional end-to-end security is not suitable for use with in-network aggregation. A corrupted sensor has access to the data and can falsify results. Additively homomorphic encryption allows for aggregation of encrypted values, with the result being the same as the result when unencrypted data was aggregated. Using public key cryptography, digital signatures can be used to achieve integrity. We propose a new algorithm using homomorphic encryption and additive digital signatures to achieve confidentiality, integrity and availability for in-network aggregation in wireless sensor networks. We prove that our digital signature algorithm which is based on the Elliptic Curve Digital Signature Algorithm (ECDSA) is as secure as ECDSA.

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Section: )R(x))mentioning

confidence: 99%

Secure Hierarchical Data Aggregation in Wireless Sensor Networks

Albath

Madria

2009

2009 IEEE Wireless Communications and Networking Conference

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“…Di Pietro et al [12] illustrated a method based on the idea of delayed data collection with peer checking of local hops. This method highlights the confidentiality and integrity of data collected through different data collection sensor networks.…”

Section: IImentioning

confidence: 99%

Secure Data Accumulation among Reliable Hops with Rest/Alert Scheduling in Wireless Sensor Networks

Alameen¹,

Hameed²,

Yacoab³

et al. 2017

ijacsa

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Abstract-Wireless Sensor Networks (WSNs) are more inclined to attackers by outer sources. The total information must be secured to guarantee the uprightness and privacy. In sensor networks, the data collection and data accumulation are mainly based on the energy levels of the sensor hops. Due to the drain of the energy, at one particular point of time the sensor hops become obsolete and the data transmission will not take place. This research proposes a reliable and secure strategy with dependable hops utilizing own-key logic test with convention for sensor organization. This research work proposes to practice a few hops as dependable hops (Reliable-hops) to understand the insight nature of the nodes. With every hop, a secret authorization is shared among the sink and its neighboring hops. At this point, a network is developed for sending information to the sink hops in a progressive design. The hops encode the information by utilizing the secrecy authorization and advances to the next level in network. By improving the transmission structure of reliable-hops, the accumulated value was confirmed towards guaranteeing trustworthiness. The proposed system is demonstrated with various examples and carried throughout the paper.

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“…21 end if 14: end for 15: if n a = n 0 then 16: n a sends D a , BIT a A to Parent(n a ); 17: else 18: n 0 sends D 0 to the sink; 19: end if Each non-leaf node n a first aggregates the values received from its children, then adds to that result both its own sensed value and its own keyed values. Its keyed values are computed in the following way.…”

Section: Procedures 4 Request_relaymentioning

confidence: 99%

“…However, security and privacy issues were simply ignored. As for security, a few interesting proposals have been enriching the literature corpus, such as [13,15,16,19,20]; however, none of the above algorithms was designed to address privacy issues.…”

Section: Related Workmentioning

confidence: 99%

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Preserving privacy against external and internal threats in WSN data aggregation

Zhang

Conti

et al. 2011

Telecommun Syst

Self Cite

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In this paper, we propose two efficient and privacy-preserving data aggregation protocols for WSNs: PASKOS (Privacy preserving based on Anonymously Shared Keys and Omniscient Sink) and PASKIS (Privacy preserving based on Anonymously Shared Keys and Ignorant Sink)-requiring low overhead. Both protocols guarantee privacy preservation and a high data-loss resilience. In particular, PASKOS effectively protects the privacy of any node against other nodes, by requiring O(log N) communication cost in the worst case and O(1) on average, and O(1) as for memory and computation. PASKIS can even protect a node's privacy against a compromised sink, requiring only O(1) overhead as for computation, communication, and memory; however, these gains in efficiency are tradedoff with a (slightly) decrease in the assured level of privacy. A thorough analysis and extensive simulations demonstrate the superior performance of our protocols against existing solutions in terms of privacy-preserving effectiveness, efficiency, and accuracy of computed aggregation.

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Confidentiality and integrity for data aggregation in WSN using peer monitoring

Abstract: Hop-by-hop data aggregation is a very impor-

Cited by 39 publications

References 43 publications

Secure Hierarchical Data Aggregation in Wireless Sensor Networks

Secure Hierarchical Data Aggregation in Wireless Sensor Networks

Secure Data Accumulation among Reliable Hops with Rest/Alert Scheduling in Wireless Sensor Networks

Preserving privacy against external and internal threats in WSN data aggregation

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