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Introduction to the special section on advances of machine learning in cybersecurity (VSI-mlsec)
dc.contributor.author | Namasudra, Suyel | |
dc.contributor.author | González-Crespo, Rubén | |
dc.contributor.author | Kumar, Sathish | |
dc.date | 2022 | |
dc.date.accessioned | 2022-12-09T13:16:28Z | |
dc.date.available | 2022-12-09T13:16:28Z | |
dc.identifier.issn | 00457906 | |
dc.identifier.uri | https://reunir.unir.net/handle/123456789/13884 | |
dc.description.abstract | With the rapid advancement of emerging technologies, such as Internet of Things (IoT), cloud computing, and many more, a huge amount of data is generated and processed in daily life. As these technologies are based on the internet, security issues are continuously increasing due to the presence of numerous hackers who try to hack users’ personal and confidential data by using security attacks. Sometimes, they replace authentic data with their fake data. The situation becomes more critical when a large number of users access and store their personal data outside of their own domain at the same time. Attackers mainly target the financial, healthcare, and defense sectors. Therefore, there must be strong security techniques to protect confidential or personal data against hackers and malicious users. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Computers and Electrical Engineering | es_ES |
dc.relation.ispartofseries | ;vol. 100, nº 108048 | |
dc.relation.uri | https://www.sciencedirect.com/science/article/pii/S0045790622003093?via%3Dihub | es_ES |
dc.rights | openAccess | es_ES |
dc.subject | machine learning | es_ES |
dc.subject | cybersecurity | es_ES |
dc.subject | VSI-mlsec | es_ES |
dc.subject | Scopus(2) | es_ES |
dc.subject | JCR | es_ES |
dc.title | Introduction to the special section on advances of machine learning in cybersecurity (VSI-mlsec) | es_ES |
dc.type | other | es_ES |
reunir.tag | ~ARI | es_ES |
dc.identifier.doi | https://doi.org/10.1016/j.compeleceng.2022.108048 |
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