Zobrazeno 1 - 10
of 12
pro vyhledávání: '"A. M. Viswa Bharathy"'
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fa01d2279ac3c5d2d62863c5b2fd16c
https://doi.org/10.1007/s11042-023-15446-2
https://doi.org/10.1007/s11042-023-15446-2
Autor:
A. M. Viswa Bharathy, P. Karthikeyan
As most of the countries in the world have moved on to 5G networks and the remaining are already in the process, everyone's attention is on the NextGen networks (6G and further). Security and privacy issues have always been the concern in the communi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02a79a33a5ef4af3445480c769121c8f
https://doi.org/10.4018/978-1-6684-3804-6.ch001
https://doi.org/10.4018/978-1-6684-3804-6.ch001
Autor:
Chandu Ramisetti, Talla Neeraj, Punna Surya, Mahesh Kumar G, N Arun Vignesh, Asisa Kumar Panigrahy, A M Viswa Bharathy, N. Kumareshan
Publikováno v:
2022 International Conference on Computer Communication and Informatics (ICCCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7926f96eb6c3c07acbb30982e646ff27
https://doi.org/10.1109/iccci54379.2022.9740786
https://doi.org/10.1109/iccci54379.2022.9740786
Publikováno v:
2022 IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97e44d0c5ac96fddbc0b1fe6118b1d9c
https://doi.org/10.1109/icaecc54045.2022.9716641
https://doi.org/10.1109/icaecc54045.2022.9716641
In the rapidly evolving landscape of finance and governance, the integration of blockchain technology and artificial intelligence is reshaping the way we perceive and interact with traditional systems. In Applications of Blockchain and Artificial Int
Autor:
A. M. Viswa Bharathy, A. Mahabub Basha
Publikováno v:
Sādhanā. 42:631-640
The critical data we share through computer network gets stolen by unethical means. This unethical way of accessing one’s data without proper authentication becomes intrusion. To solve this issue, in this paper we propose a new network intrusion de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c28bdabed74ca051e242c31e20fefa44
https://doi.org/10.1007/s12046-017-0626-8
https://doi.org/10.1007/s12046-017-0626-8
Publikováno v:
2019 International Conference on Computational Intelligence in Data Science (ICCIDS).
Intrusion detection system is described as a data monitoring, network activity study and data on possible vulnerabilities and attacks in advance. One of the main limitations of the present intrusion detection technology is the need to take out fake a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b23f2f9c5974b30603e8d0a666dc6b91
https://doi.org/10.1109/iccids.2019.8862119
https://doi.org/10.1109/iccids.2019.8862119
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811333927
The sensor nodes in UWSNs do not remain within the confined zone due to water currents. The sensor nodes have to be clustered in order to enable them to send and receive the collected data in their deployed environment. Clustering of sensor nodes hel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::619afc4afa90e314eb581428f7c032f1
https://doi.org/10.1007/978-981-13-3393-4_7
https://doi.org/10.1007/978-981-13-3393-4_7
Autor:
A. M. Viswa Bharathy, V. Chandrasekar
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811335990
The wireless sensor networks are prime components in automation and help in accelerating the technology to the next level. The sensor nodes are deployed in adverse conditions to monitor and collect critical data around the environment and relay the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::327b012eb0ed552e0c14f2028eb0a61c
https://doi.org/10.1007/978-981-13-3600-3_27
https://doi.org/10.1007/978-981-13-3600-3_27
Autor:
A. M. Viswa Bharathy
Publikováno v:
International Journal of Business Intelligence and Data Mining. 18:246
The classification techniques proposed so far is not sufficiently intelligent in classifying data set beyond two level classifications. To multi classify the data set for network data we are in need of more hybrid algorithms. In this paper we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2def97864e821aff0467bcacf92db2b6
https://doi.org/10.1504/ijbidm.2021.112992
https://doi.org/10.1504/ijbidm.2021.112992