Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohammed Ibrahim Al-mashhadani"'
Publikováno v:
Iraqi Journal for Computer Science and Mathematics, Vol 3, Iss 1 (2022)
Now days, in many real life applications, the sentiment analysis plays very vital role for automatic prediction of human being activities especially on online social networks (OSNs). Therefore since from last decade, the research on opinion mining an
Externí odkaz:
https://doaj.org/article/b3f6ed887739403284b7b06031547118
Publikováno v:
Mesopotamian Journal of Computer Science. :17-28
With the increasing use of encryption in network traffic, anomaly detection in encrypted traffic has become a challenging problem. This study proposes an approach for anomaly detection in encrypted HTTPS traffic using machine learning and compares th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::127d96780a3467d6bd7b1f4892fb7198
https://doi.org/10.58496/mjcsc/2022/005
https://doi.org/10.58496/mjcsc/2022/005
Autor:
null Mohammed Ibrahim Al-mashhadani, null Kilan M. Hussein, null Enas Tariq Khudir, null Muhammad ilyas
Publikováno v:
Iraqi Journal for Computer Science and Mathematics. :64-70
Now days, in many real life applications, the sentiment analysis plays very vital role for automatic prediction of human being activities especially on online social networks (OSNs). Therefore since from last decade, the research on opinion mining an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3ec3662a8b7ba2113ed5dc73f6f8996
https://doi.org/10.52866/ijcsm.2022.01.01.007
https://doi.org/10.52866/ijcsm.2022.01.01.007