Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Bingyang Guo"'
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5739 (2023)
The centralization of the global DNS ecosystem may accelerate the creation of an oligopoly market, thereby, increasing the risk of a single point of failure and network traffic manipulation. Earlier studies have revealed the level of centralization i
Externí odkaz:
https://doaj.org/article/5a0cf31eba5b43499a1828666f6c14a4
Publikováno v:
Applied Sciences, Vol 11, Iss 20, p 9733 (2021)
Internet users have suffered from phishing attacks for a long time. Attackers deceive users through malicious constructed phishing websites to steal sensitive information, such as bank account numbers, website usernames, and passwords. In recent year
Externí odkaz:
https://doaj.org/article/790c09338a25459591a88864642b91b9
Publikováno v:
IEEE Transactions on Industrial Informatics. :1-11
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-10
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Publikováno v:
2021 17th International Conference on Mobility, Sensing and Networking (MSN).
Publikováno v:
Applied Sciences
Volume 11
Issue 20
Applied Sciences, Vol 11, Iss 9733, p 9733 (2021)
Volume 11
Issue 20
Applied Sciences, Vol 11, Iss 9733, p 9733 (2021)
Internet users have suffered from phishing attacks for a long time. Attackers deceive users through malicious constructed phishing websites to steal sensitive information, such as bank account numbers, website usernames, and passwords. In recent year
Publikováno v:
Medicinal Plant. Feb2018, Vol. 9 Issue 1, p19-24. 6p.
Publikováno v:
ICCCS
As the Internet continues to evolve, the Domain Name System (DNS), which is originally designated as distributed service, starts to aggregate to fewer DNS servers. Thus, it is of great significance to dig out these name servers and carry out specific
Publikováno v:
Journal of Visual Communication and Image Representation. 71:102851
While some denoising methods based on deep learning achieve superior results on synthetic noise, they are far from dealing with photographs corrupted by realistic noise. Denoising on real-world noisy images faces more significant challenges due to th