Zobrazeno 1 - 10
of 248
pro vyhledávání: '"Yongjun Ren"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract In federated learning, secret sharing is a key technology to maintain the privacy of participants’ local models. Moreover, with the rapid development of quantum computers, existing federated learning privacy protection schemes based on sec
Externí odkaz:
https://doaj.org/article/46ed386acb7b49508f19c4defa296584
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 1, Pp 142-149 (2024)
With the intelligentization of the Internet of Vehicles (IoVs), Artificial Intelligence (AI) technology is becoming more and more essential, especially deep learning. Federated Deep Learning (FDL) is a novel distributed machine learning technology an
Externí odkaz:
https://doaj.org/article/6f755f3ac6aa408ca08c549a5a0a1cf5
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28861- (2024)
In the context of the increasingly diversified blockchain technology, interoperability among heterogeneous blockchains has become key to further advancing this field. Existing cross-chain technologies, while facilitating data and asset exchange betwe
Externí odkaz:
https://doaj.org/article/a93fc29dcef84787a3cb3ea2738ecd47
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28117- (2024)
With the swift advancement of cloud computing and the Internet of Things (IoT), to address the issue of massive data storage, IoT devices opt to offload their data to cloud servers so as to alleviate the pressure of resident storage and computation.
Externí odkaz:
https://doaj.org/article/6437564ece79458c8262c12c94ae013e
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 8, p 280 (2024)
As mobile internet and Internet of Things technologies rapidly advance, the amount of spatio-temporal big data have surged, and efficient and secure management solutions are urgently needed. Although cloud storage provides convenience, it also brings
Externí odkaz:
https://doaj.org/article/801751dc34d644149b6ca3fbd77220ba
Publikováno v:
Chemosensors, Vol 12, Iss 5, p 74 (2024)
In the moist environment of soil-water-air, there is a problem of low accuracy in monitoring volatile organic compounds (VOCs) using a photoionization detector (PID). This study is based on the PID water-soil-gas VOC online monitor developed by this
Externí odkaz:
https://doaj.org/article/b630fb13a10e4050833e0cbdf43a5fbd
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101674- (2023)
Industry 5.0 is seen as the next stage of the industrial revolution. However, the centralized management of the vast amount of data in Industry 5.0 poses significant security challenges. Because blockchain can provide a stable decentralized network f
Externí odkaz:
https://doaj.org/article/ae91de4ed5c143cfb182d69d2121c63a
Autor:
Yongjun Ren, Xinyu Liu, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba, Shenqing Wang, Jin Wang
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract With the rapid development of Industry 4.0, the data security of Industrial Internet of Things in the Industry 4.0 environment has received widespread attention. Blockchain has the characteristics of decentralization and tamper-proof. Theref
Externí odkaz:
https://doaj.org/article/8ff2cf49b82d41efa7d44f16d19e14cf
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 11, Pp 11034-11046 (2022)
Internet of things (IoT) is a technology that can collect the data sensed by the devices for the further real-time services. Using the technique of cloud computing to assist IoT devices in data storing can eliminate the disadvantage of the constraine
Externí odkaz:
https://doaj.org/article/30f1ee4f47db46ae9882a1e99e43056f
Publikováno v:
网络与信息安全学报, Vol 7, Pp 141-146 (2021)
Most of establishment-key protocols suffer from both session-specific temporary information attack and private key leakage issue.Therefore, a novel public key sharing-based symmetric encryption algorithm (PKS-SE) was proposed, in order to maintain th
Externí odkaz:
https://doaj.org/article/69464b43181f49a68dcf989933480e08