Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Hequn Xian"'
Publikováno v:
Future Internet, Vol 16, Iss 5, p 164 (2024)
As network technology advances, there is an increasing need for a trusted new-generation information management system. Blockchain technology provides a decentralized, transparent, and tamper-proof foundation. Meanwhile, data islands have become a si
Externí odkaz:
https://doaj.org/article/d0d9b2b2efa64663a8f46b466f038e8b
Publikováno v:
IEEE Access, Vol 11, Pp 9742-9750 (2023)
To protect data privacy, users prefer to store encrypted data in cloud servers. Cloud servers reduce the cost of storage and network bandwidth by eliminating duplicate copies. To address the potential internal data leakage problem, the concept of clu
Externí odkaz:
https://doaj.org/article/d689732689ef411a8875c13b3349fdbf
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 9, Iss 1, Pp 1-13 (2020)
Abstract With the development of big data and cloud computing, more and more enterprises prefer to store their data in cloud and share the data among their authorized employees efficiently and securely. So far, many different data sharing schemes in
Externí odkaz:
https://doaj.org/article/a59dd36c9f044d338c8c1540c74019c0
Machine Learning Methods for Industrial Protocol Security Analysis: Issues, Taxonomy, and Directions
Publikováno v:
IEEE Access, Vol 8, Pp 83842-83857 (2020)
Machine learning has been widely studied in the security analysis of Industrial Control Systems (ICSs). However, in industrial scenarios, the amount of data as well as the speed of data generation are very different from standard machine learning dat
Externí odkaz:
https://doaj.org/article/29106416e85d4f06b65a6fc7f00dc217
Publikováno v:
IEEE Access, Vol 8, Pp 186323-186334 (2020)
Deduplication eliminates duplicated data copies and reduces storage costs of cloud service providers. However, deduplication of encrypted data is difficult. Current solutions rely heavily on trusted third parties, and do not address the popularity of
Externí odkaz:
https://doaj.org/article/667dd8cdd3c941a7a78752f79df78f67
Autor:
Wei Wang, Meichen Zhao, Zhenzhen Gao, Guangquan Xu, Hequn Xian, Yuanyuan Li, Xiangliang Zhang
Publikováno v:
IEEE Access, Vol 7, Pp 67602-67631 (2019)
The number of applications (apps) available for smart devices or Android based IoT (Internet of Things) has surged dramatically over the past few years. Meanwhile, the volume of ill-designed or malicious apps (malapps) has been growing explosively. T
Externí odkaz:
https://doaj.org/article/4afa8064505d40ab850aa2ecbdcbd559
Publikováno v:
IEEE Access, Vol 7, Pp 89051-89062 (2019)
In recent years, the discovery of local communities in multi-layer networks has become an active research field of complex systems. Such as communication, social networking, sensor network the rapid development of new technologies, the amount of data
Externí odkaz:
https://doaj.org/article/5038dccc9bb54a4d952411035e737f1a
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 16 (2020)
Large amount of data are being produce by Internet-of-things sensor networks and applications. Secure and efficient deduplication of Internet-of-things data in the cloud is vital to the prevalence of Internet-of-things applications. In order to ensur
Externí odkaz:
https://doaj.org/article/40afc3bf4f6a4505ae7d96b247154141
Publikováno v:
IEEE Internet of Things Journal. 9:21648-21661
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acd84b59cbb199e371a7e7f2c5ea5681
https://doi.org/10.1109/jiot.2022.3181734
https://doi.org/10.1109/jiot.2022.3181734
Publikováno v:
World Wide Web.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d1043affd06751166d2c001f1c1e5c8
https://doi.org/10.1007/s11280-022-01093-4
https://doi.org/10.1007/s11280-022-01093-4