2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) 2020
DOI: 10.1109/auteee50969.2020.9315655
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Privacy-Preserving of Power Consumption Big Data Based on Improved Group Signature and Homomorphic Encryption

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Cited by 3 publications
(2 citation statements)
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“…This reduces the noise level of IBHTDF when evaluating a circuit of depth. Moreover, finally, key-homomorphic signatures focus on key-homomorphic signature schemes and show that this concept turns out to be an exciting and versatile tool [56,57].…”
Section: Homomorphic Signaturesmentioning
confidence: 99%
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“…This reduces the noise level of IBHTDF when evaluating a circuit of depth. Moreover, finally, key-homomorphic signatures focus on key-homomorphic signature schemes and show that this concept turns out to be an exciting and versatile tool [56,57].…”
Section: Homomorphic Signaturesmentioning
confidence: 99%
“…In addition, we compare the performance differences between different schemes in the Extract-Private-Key Phase. We select the private key generation schemes of Li's [53] and Qiu's [56] schemes and compare the time cost. Our default key length is 256 bits.…”
Section: Extract-private-key Phasementioning
confidence: 99%