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    Introduction to the special section on advances of machine learning in cybersecurity (VSI-mlsec)

    Autor: 
    Namasudra, Suyel
    ;
    González-Crespo, Rubén
    ;
    Kumar, Sathish
    Fecha: 
    2022
    Palabra clave: 
    machine learning; cybersecurity; VSI-mlsec; Scopus(2); JCR
    Revista / editorial: 
    Computers and Electrical Engineering
    Tipo de Ítem: 
    other
    URI: 
    https://reunir.unir.net/handle/123456789/13884
    DOI: 
    https://doi.org/10.1016/j.compeleceng.2022.108048
    Dirección web: 
    https://www.sciencedirect.com/science/article/pii/S0045790622003093?via%3Dihub
    Open Access
    Resumen:
    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.
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