Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jorge E. Coyac-Torres"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 3, Pp 1132-1148 (2023)
Social networks have captured the attention of many people worldwide. However, these services have also attracted a considerable number of malicious users whose aim is to compromise the digital assets of other users by using messages as an attack vec
Externí odkaz:
https://doaj.org/article/04d014110e6f49b885eed91e4441c82a
Autor:
Gerardo Hernández-Oregón, Mario E. Rivero-Angeles, Juan C. Chimal-Eguía, Jorge E. Coyac-Torres
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7906 (2023)
Peer-to-Peer (P2P) networks have emerged as potential solutions to issues that cause inefficient download times in networks because they can use the resources in the entire network, allowing nodes to act both as servers and clients simultaneously. Co
Externí odkaz:
https://doaj.org/article/ef6b5e17e8ac4d62bbc91b50645d12dc
Publikováno v:
Mobile Networks and Applications. 26:1449-1460
Nowadays, the use of nodes with different sensing capabilities is pervasive. This leads to many environments capable of monitoring human activity for security, comfort, and connectivity applications among others. However, this also leads to many oppo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d2299aff86de88e3f6fd456174b435e
https://doi.org/10.1007/s11036-019-01482-6
https://doi.org/10.1007/s11036-019-01482-6