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    ARTICLE

    An Effective Threat Detection Framework for Advanced Persistent Cyberattacks

    So-Eun Jeon1, Sun-Jin Lee1, Eun-Young Lee1, Yeon-Ji Lee2, Jung-Hwa Ryu2, Jung-Hyun Moon2, Sun-Min Yi2, Il-Gu Lee1,2,*

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4231-4253, 2023, DOI:10.32604/cmc.2023.034287

    Abstract Recently, with the normalization of non-face-to-face online environments in response to the COVID-19 pandemic, the possibility of cyberattacks through endpoints has increased. Numerous endpoint devices are managed meticulously to prevent cyberattacks and ensure timely responses to potential security threats. In particular, because telecommuting, telemedicine, and tele-education are implemented in uncontrolled environments, attackers typically target vulnerable endpoints to acquire administrator rights or steal authentication information, and reports of endpoint attacks have been increasing considerably. Advanced persistent threats (APTs) using various novel variant malicious codes are a form of a sophisticated attack. However, conventional commercial antivirus and anti-malware systems that use signature-based… More >

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