A novel approach for APT attack detection based on combined deep learning model

C Do Xuan, MH Dao - Neural Computing and Applications, 2021 - Springer
Advanced persistent threat (APT) attack is a malicious attack type which has intentional and
clear targets. This attack technique has become a challenge for information security systems …

A hybrid ensemble machine learning model for detecting APT attacks based on network behavior anomaly detection

N Saini, V Bhat Kasaragod… - Concurrency and …, 2023 - Wiley Online Library
A persistent, targeted cyber attack is called an advanced persistent threat (APT) attack. The
attack is mainly launched to gain sensitive information, take over the system, and for …

Apt-kgl: An intelligent apt detection system based on threat knowledge and heterogeneous provenance graph learning

T Chen, C Dong, M Lv, Q Song, H Liu… - … on Dependable and …, 2022 - ieeexplore.ieee.org
APTs (Advanced Persistent Threats) have caused serious security threats worldwide. Most
existing APT detection systems are implemented based on sophisticated forensic analysis …

[HTML][HTML] Network-Based Intrusion Detection for Industrial and Robotics Systems: A Comprehensive Survey

R Holdbrook, O Odeyomi, S Yi, K Roy - Electronics, 2024 - mdpi.com
In the face of rapidly evolving cyber threats, network-based intrusion detection systems
(NIDS) have become critical to the security of industrial and robotic systems. This survey …

Advanced Persistent Threat Attack Detection Systems: A Review of Approaches, Challenges, and Trends

R Buchta, G Gkoktsis, F Heine, C Kleiner - Digital Threats: Research and …, 2024 - dl.acm.org
Advanced persistent threat (APT) attacks present a significant challenge for any
organization, as they are difficult to detect due to their elusive nature and characteristics. In …

APT attack detection based on flow network analysis techniques using deep learning

C Do Xuan, MH Dao… - Journal of Intelligent & …, 2020 - content.iospress.com
Abstract Advanced Persistent Threat (APT) attacks are a form of malicious, intentionally and
clearly targeted attack. This attack technique is growing in both the number of recorded …

A multi-layer approach for advanced persistent threat detection using machine learning based on network traffic

CD Xuan, D Duong, HX Dau - Journal of Intelligent & Fuzzy …, 2021 - content.iospress.com
Abstract Advanced Persistent Threat (APT) is a dangerous network attack method that is
widely used by attackers nowadays. During the APT attack process, attackers often use …

Automated microsegmentation for lateral movement prevention in industrial internet of things (IIoT)

M Arifeen, A Petrovski… - 2021 14th international …, 2021 - ieeexplore.ieee.org
The integration of the IoT network with the Operational Technology (OT) network is
increasing rapidly. However, this incorporation of IoT devices into the OT network makes the …

[HTML][HTML] Анализ моделей и методик, используемых для атрибуции нарушителей кибербезопасности при реализации целевых атак

И Котенко, СС Хмыров - Вопросы кибербезопасности, 2022 - cyberleninka.ru
Цель работы: анализ моделей и методик, используемых для атрибуции нарушителей
кибербезопасности в интересах построения перспективной системы атрибуции при …

APT attack detection based on graph convolutional neural networks

W Ren, X Song, Y Hong, Y Lei, J Yao, Y Du… - International Journal of …, 2023 - Springer
Advanced persistent threat (APT) attacks are malicious and targeted forms of cyberattacks
that pose significant challenges to the information security of governments and enterprises …