Consistent and effective energy utilisation of node model for securing data in wireless sensor networks

Balamurugan, P.; Karuppiah, Marimuthu; Mummoorthy, A.; Viswabharathi, A.M.; Niranchana, R.

doi:10.1504/ijguc.2018.093978

Cited by 5 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a hot topic for conflict resolution in crowdsourcing, the privacy issue in truth discovery has attracted significant attention, and various approaches based on cryptography [44][45][46][47][48][49] or differential privacy have been investigated. Miao et al [16] proposed the first privacypreserving approach called PPTD, which relies on the threshold homomorphic cryptosystem [50] to protect the confidentiality of the worker's answers and weights.…”

Section: Related Workmentioning

confidence: 99%

Achieving Private and Fair Truth Discovery in Crowdsourcing Systems

Wang

Cheng

et al. 2022

Security and Communication Networks

View full text Add to dashboard Cite

Nowadays, crowdsourcing has witnessed increasing popularity as it can be adopted to solve many challenging question-answering tasks. One of the most significant problems in crowdsourcing is truth discovery, which aims to find reliable information from conflict answers provided by different workers. Despite the effectiveness for providing reliable aggregated results, existing works on truth discovery either fall short of preserving the workers’ privacy or fail to consider the unfairness issue in their design. In light of this deficiency, we propose a novel private and fair truth discovery approach called PFTD, which is implemented by two non-colluding cloud servers and leverages the Paillier cryptosystem. This approach not only preserves the privacy of the answers of each worker, but also addresses the unfairness issue in crowdsourcing. Extensive experiments conducted on both real and synthetic datasets demonstrate the effectiveness of our proposed PFTD approach.

show abstract