Machine learning for APT detection

• Main Authors: Al-Aamri, Abdullah Said Ali, Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Turaev, Sherzod, Al-Shaikhli, Imad Fakhri Taha, Zeki, Akram M., Talib, Shuhaili
• Format: Article
• Language: English; English; English
• Published: MDPI 2023
• Subjects: T10.5 Communication of technical information
• Online Access: http://irep.iium.edu.my/108265/1/108265_Machine%20learning%20for%20APT%20detection.pdf; http://irep.iium.edu.my/108265/7/108265_Machine%20learning%20for%20APT%20detection_SCOPUS.pdf; http://irep.iium.edu.my/108265/13/108265_Machine%20Learning%20for%20APT%20Detection%20_%20WOS.pdf; http://irep.iium.edu.my/108265/; https://www.mdpi.com/2071-1050/15/18/13820
• Institution: Universiti Islam Antarabangsa Malaysia

Nowadays, countries face a multitude of electronic threats that have permeated almost all business sectors, be it private corporations or public institutions. Among these threats, advanced persistent threats (APTs) stand out as a well-known example. APTs are highly sophisticated and stealthy compute...