Early Detection of the Advanced Persistent Threat Attack Using Performance Analysis of Deep Learning

Early Detection of the Advanced Persistent Threat Attack Using Performance Analysis of Deep Learning

One of the most common and critical destructive attacks on the victim system is the advanced persistent threat (APT)-attack. An APT attacker can achieve its hostile goal through obtaining information and gaining financial benefits from the infrastructure of a network. One of the solutions to detect...

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Bibliographic Details
Main Authors: Javad Hassannataj Joloudari, Mojtaba Haderbadi, Amir Mashmool, Mohammad Ghasemigol, Shahab S. Band, Amir Mosavi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
APT-attack
detection and classification
feature extraction
machine learning
C50 decision tree
Bayesian network
Online Access:https://ieeexplore.ieee.org/document/9214817/

Internet

https://ieeexplore.ieee.org/document/9214817/

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