Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Anantaa Kotal"'
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
The entire scientific and academic community has been mobilized to gain a better understanding of the COVID-19 disease and its impact on humanity. Most research related to COVID-19 needs to analyze large amounts of data in very little time. This urge
Externí odkaz:
https://doaj.org/article/26196ab0d5314728965001a7f6ebb159
Publikováno v:
Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f799c0061e4a5956241fa3c1543a3206
https://doi.org/10.1145/3510548.3519377
https://doi.org/10.1145/3510548.3519377
Publikováno v:
2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c907041e00c8509308635ac6965173e
https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00201
https://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00201
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Frontiers in Big Data
Frontiers in Big Data
The entire scientific and academic community has been mobilized to gain a better understanding of the COVID-19 disease and its impact on humanity. Most research related to COVID-19 needs to analyze large amounts of data in very little time. This urge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97b585f9f713a0662b5075c14e1a6934
https://doi.org/10.3389/fdata.2021.701966
https://doi.org/10.3389/fdata.2021.701966
Publikováno v:
IEEE BigData
Named Entity Recognition (NER) is important in the cybersecurity domain. It helps researchers extract cyber threat information from unstructured text sources. The extracted cyber-entities or key expressions can be used to model a cyber-attack describ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dd04e1e8e62dab21608cb8be0edf4ca
https://doi.org/10.1109/bigdata50022.2020.9378482
https://doi.org/10.1109/bigdata50022.2020.9378482
Publikováno v:
IEEE BigData
Data protection authorities formulate policies and rules which the service providers have to comply with to ensure security and privacy when they perform Big Data analytics using users Personally Identifiable Information (PII). The knowledge containe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1775d8ef9f0571d0c3cd2832bef44a22
https://doi.org/10.1109/bigdata50022.2020.9377864
https://doi.org/10.1109/bigdata50022.2020.9377864
Autor:
Anupam Joshi, Sudip Mittal, Aritran Piplai, Sandeep Narayanan, Priyanka Ranade, Anantaa Kotal
Publikováno v:
IEEE BigData
Machine learning algorithms used to detect attacks are limited by the fact that they cannot incorporate the back-ground knowledge that an analyst has. This limits their suitability in detecting new attacks. Reinforcement learning is different from tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c7aaf78cd923126ef9dc859aa750d1b
https://doi.org/10.1109/bigdata50022.2020.9378491
https://doi.org/10.1109/bigdata50022.2020.9378491
Publikováno v:
CLOUD
Cloud Legal documents, like Privacy Policies and Terms of Services (ToS), include key terms and rules that enable consumers to continuously monitor the performance of the cloud services used in their organization. To ensure high consumer confidence i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a9040be2a5d9c017370aa573c61bb11
https://doi.org/10.1109/cloud49709.2020.00023
https://doi.org/10.1109/cloud49709.2020.00023