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APT beaconing detection: A systematic review
Abstract Advanced Persistent Threat (APT) is a type of threat that has grabbed the attention
of researchers, particularly in the industrial security field. APTs are cyber intrusions carried …
of researchers, particularly in the industrial security field. APTs are cyber intrusions carried …
Sok: The mitre att&ck framework in research and practice
The MITRE ATT&CK framework, a comprehensive knowledge base of adversary tactics and
techniques, has been widely adopted by the cybersecurity industry as well as by academic …
techniques, has been widely adopted by the cybersecurity industry as well as by academic …
DNS tunnelling, exfiltration and detection over cloud environments
The domain name system (DNS) protocol is fundamental to the operation of the internet,
however, in recent years various methodologies have been developed that enable DNS …
however, in recent years various methodologies have been developed that enable DNS …
Real-time APT detection technologies: A literature review
S Mönch, H Roth - … on Cyber Security and Resilience (CSR), 2023 - ieeexplore.ieee.org
Recently, the usage of advanced persistent threats (APT) increased rapidly in the context of
cyberwar. To perform countermeasures against such attacks, an efficient APT detection is …
cyberwar. To perform countermeasures against such attacks, an efficient APT detection is …
Leveraging machine learning for ransomware detection
The current pandemic situation has increased cyber-attacks drastically worldwide. The
attackers are using malware like trojans, spyware, rootkits, worms, ransomware heavily …
attackers are using malware like trojans, spyware, rootkits, worms, ransomware heavily …
Cyber threat hunting using unsupervised federated learning and adversary emulation
The rapid growth of communication networks, coupled with the increasing complexity of
cyber threats, necessitates the implementation of proactive measures to protect networks …
cyber threats, necessitates the implementation of proactive measures to protect networks …
An Effective Threat Detection Framework for Advanced Persistent Cyberattacks.
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 …
COVID-19 pandemic, the possibility of cyberattacks through endpoints has increased …
[HTML][HTML] Enhancing Anomaly Detection Through Latent Space Manipulation in Autoencoders: A Comparative Analysis
This article explores the practical implementation of autoencoders for anomaly detection,
emphasizing their latent space manipulation and applicability across various domains. This …
emphasizing their latent space manipulation and applicability across various domains. This …
Exploration of Open Source SIEM Tools and Deployment of an Appropriate Wazuh-Based Solution for Strengthening Cyberdefense
In an ever-evolving digital landscape, the significance of robust cybersecurity measures
continues to grow. This paper explores the efficacy of fortifying organizational defenses …
continues to grow. This paper explores the efficacy of fortifying organizational defenses …
[PDF][PDF] Security Operation Center Methodology for 5G Networks
M Orsós, R Török, C Faragó, B Antalfia… - Acta Polytechnica …, 2025 - acta.uni-obuda.hu
The utilization of the recently introduced yet rapidly proliferating new generation of 5G
mobile communications offers many new advantages. However, it has also brought with it …
mobile communications offers many new advantages. However, it has also brought with it …