Zobrazeno 1 - 10
of 15
pro vyhledávání: '"M., Srikanth yadav"'
Publikováno v:
Cluster Computing. 25:4275-4287
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0614f445eee85c80b439847ff8caf5ad
https://doi.org/10.1007/s10586-022-03667-3
https://doi.org/10.1007/s10586-022-03667-3
Autor:
Kamepalli Sujatha, Ketepalli Gayatri, M. Srikanth Yadav, N. Chandra Sekhara Rao, Bandaru Srinivasa Rao
Publikováno v:
2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4372575e629b540825cad093b8c1f10
https://doi.org/10.1109/iihc55949.2022.10060555
https://doi.org/10.1109/iihc55949.2022.10060555
Many individuals get their news from sources they don't know anymore, including Facebook, WhatsApp, Twitter, and Telegram, which are all popular social media platforms nowadays. False information spread through online is faltering a major origin of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4abae8e9f29d9775eff9a6129db44d5
Autor:
M. Srikanth Yadav, R. Kalpana
Publikováno v:
Data Intelligence and Cognitive Informatics ISBN: 9789811664595
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd16a378e7428d85e6c0f163aaf881f9
https://doi.org/10.1007/978-981-16-6460-1_39
https://doi.org/10.1007/978-981-16-6460-1_39
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811595158
The goal of this analysis is to identify intrusions on CSE-CIC-IDS2018 datasets. The methods used are split into two sections as a one-tier and two-level hybrid methods. In this analysis, we treated the data collection using machine learning techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68e4e1b2b4dca2ec4f27203d80a96685
https://doi.org/10.1007/978-981-15-9516-5_21
https://doi.org/10.1007/978-981-15-9516-5_21
Autor:
M Srikanth Yadav, R. Kalpana
In the present computing world, network intrusion detection systems are playing a vital part in detecting malicious activities, and enormous attention has been given to deep learning from several years. During the past few years, cyber-physical syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4090d1e1c996ebf9cb47689dfcd5de8
https://doi.org/10.4018/978-1-7998-5101-1.ch007
https://doi.org/10.4018/978-1-7998-5101-1.ch007
Autor:
M Srikanth Yadav., R. Kalpana
Publikováno v:
2019 11th International Conference on Advanced Computing (ICoAC).
This work presents a data preparation and data preprocessing framework to support deep learning and network security experts in producing qualitative data for empirical experimental analysis of intrusion detection data. The Onehotencoder and min-max
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::409b62cfc94f3945449d396c6080d23e
https://doi.org/10.1109/icoac48765.2019.246851
https://doi.org/10.1109/icoac48765.2019.246851
Akademický článek
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Conference
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