Zobrazeno 1 - 10
of 24
pro vyhledávání: '"M. R. Gauthama Raman"'
Publikováno v:
In Applied Energy 1 March 2020 261
Autor:
M. R. Gauthama Raman, Aditya P. Mathur
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:6003-6014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba8ec31c8aa248c29848470188802e9e
https://doi.org/10.1109/tsmc.2021.3131662
https://doi.org/10.1109/tsmc.2021.3131662
Publikováno v:
Cybersecurity, Vol 4, Iss 1, Pp 1-12 (2021)
Gradual increase in the number of successful attacks against Industrial Control Systems (ICS) has led to an urgent need to create defense mechanisms for accurate and timely detection of the resulting process anomalies. Towards this end, a class of an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64baeb770b4ccaddb36b5abaa6b7867d
https://doi.org/10.1186/s42400-021-00095-5
https://doi.org/10.1186/s42400-021-00095-5
Autor:
M. R. Gauthama Raman, Thirumaran Selvam, Kannan Krithivasan, V. S. Shankar Sriram, Tina Manghnani, Nivethitha Somu, Sahruday Jagarapu
Publikováno v:
Artificial Intelligence Review. 53:3255-3286
‘Curse of Dimensionality’ and the trade-off between high detection rate and less false alarm rate make the design of an efficient and robust Intrusion Detection System, an open research challenge. In this way, we present Hyper Clique—Improved B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::325140c81dc5b668419ad06a2b5eeb3b
https://doi.org/10.1007/s10462-019-09762-z
https://doi.org/10.1007/s10462-019-09762-z
Autor:
S. Priyanga, Kannan Kirthivasan, V. S. Shankar Sriram, Sujeet S. Jagtap, N. Aswin, M. R. Gauthama Raman
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 36:3993-4003
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ebd927c152ebfc5eda743210f305c07
https://doi.org/10.3233/jifs-169960
https://doi.org/10.3233/jifs-169960
Publikováno v:
Soft Computing. 23:12655-12672
‘Curse of Dimensionality’—massive generation of high-dimensional medical datasets from various biomedical applications hardens the data analytic process for precise medical diagnosis. The design of an efficient feature selection technique for f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0f434d3a7dcfcf1253a873d50371b64
https://doi.org/10.1007/s00500-019-03818-6
https://doi.org/10.1007/s00500-019-03818-6
Autor:
Krithivasan Kannan, M. R. Gauthama Raman, Obulaporam Gireesha, Somu Nivethitha, V. S. Shankar Sriram
Publikováno v:
Soft Computing. 23:11979-11999
The existence of a multitude of cloud service providers (CSPs) for each service type increases the difficulty in the identification of appropriate and trustworthy service providers based on their abilities and cloud users’ unique functional and non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ffc4b26c110bcad28697269bb3bdfd1
https://doi.org/10.1007/s00500-018-03753-y
https://doi.org/10.1007/s00500-018-03753-y
Autor:
M. R. Gauthama Raman, Aditya P. Mathur
Publikováno v:
Journal of Information Security and Applications. 64:103046
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d74083e294ad0f11a9bed87d23dd8df1
https://doi.org/10.1016/j.jisa.2021.103046
https://doi.org/10.1016/j.jisa.2021.103046
Publikováno v:
Future Generation Computer Systems. 86:234-252
Cloud service selection, a promising research directive provides an intelligent solution via. service ranking based on the Quality of Service (QoS) attributes for the identification of trustworthy Cloud Service Providers (CSPs) among a wide range of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5bbbc25e49e9edabe19c57b992a019f
https://doi.org/10.1016/j.future.2018.04.033
https://doi.org/10.1016/j.future.2018.04.033
Autor:
M. R. Gauthama Raman, Kannan Kirthivasan, Ramiro Liscano, Nivethitha Somu, V. S. Shankar Sriram
Publikováno v:
Knowledge-Based Systems. 134:1-12
Realization of the importance for advanced tool and techniques to secure the network infrastructure from the security risks has led to the development of many machine learning based intrusion detection techniques. However, the benefits and limitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::304dc15c501d4bc53a9547775a1aadfd
https://doi.org/10.1016/j.knosys.2017.07.005
https://doi.org/10.1016/j.knosys.2017.07.005