Advanced Persistent Threat (APT) and intrusion detection evaluation dataset for linux systems 2024 [PDF]
Data in BriefThe novel dataset called Linux-APT Dataset 2024 captures Advanced Persistent Threat (APT) attacks along with other latest and sophisticated payloads. Existing datasets lacks latest attacker's techniques and procedures, APTs tactics and configuration to ...
Syed Sohaib Karim +3 more
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Advanced persistent threat detection through multi-modal behavioral analysis. [PDF]
PLoS ONEAdvanced Persistent Threats (APTs) represent sophisticated cyberattacks characterized by stealth, persistence, and evasion of traditional detection mechanisms.
Adel Alshamrani
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A multi-task information extraction Chinese dataset for APT cyber threat intelligence [PDF]
Scientific DataAdvanced Persistent Threats(APTs) are characterized by persistence and complex attack chains. Information extraction techniques enable the identification of critical knowledge from unstructured Cyber Threat Intelligence (CTI), improving the detection of ...
Lu Sun +5 more
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Windows-APT 2025: A dataset for APT-inspired attack scenarios on windows systemsMendeley DataMendeley Data [PDF]
Data in BriefThe Windows-APT Dataset 2025 represents a significant advancement in cybersecurity research, addressing critical gaps in the understanding of advanced persistent threat (APT) tactics against Windows systems.
Maryam Mozaffari +2 more
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Engineering Science and Technology, an International JournalAddressing the expanding Advanced Persistent Threat (APT) landscape is crucial for governments, enterprises and threat intelligence research groups. While defenders often rely on tabular formats for assets like logs, alerts, firewall rules; attackers ...
Burak Gulbay, Mehmet Demirci
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Research on APT groups malware classification based on TCN-GAN. [PDF]
PLoS ONEAdvanced Persistent Threat (APT) malware attacks, characterized by their stealth, persistence, and high destructiveness, have become a critical focus in cybersecurity defense for large organizations.
Daowei Chen, Hongsheng Yan
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Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning
Digital Threats Research and PracticeThis article investigates the application of Deep Reinforcement Learning (DRL) for attributing malware to specific Advanced Persistent Threat (APT) groups through detailed behavioural analysis. By analysing over 3,500 malware samples from 12 distinct APT groups, the study utilises sophisticated tools like Cuckoo Sandbox to extract behavioural data ...
Mohamed Chahine Ghanem
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Heterogeneous Provenance Graph Learning Model Based APT Detection [PDF]
Jisuanji kexue, 2023 APT(advanced persistent threat)are advanced persistent cyber-attack by hacker organizations to breach the target information system.Usually,the APTs are characterized by long duration and multiple attack techniques,making the traditional intrusion ...
DONG Chengyu, LYU Mingqi, CHEN Tieming, ZHU Tiantian
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TIM: threat context-enhanced TTP intelligence mining on unstructured threat data
Cybersecurity, 2022 TTPs (Tactics, Techniques, and Procedures), which represent an attacker’s goals and methods, are the long period and essential feature of the attacker.
Yizhe You +7 more
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Classification and Analysis of Malicious Code Detection Techniques Based on the APT Attack
Applied Sciences, 2023 According to the Fire-eye’s M-Trends Annual Threat Report 2022, there are many advanced persistent threat (APT) attacks that are currently in use, and such continuous and specialized APT attacks cause serious damages attacks.
Kyungroul Lee, Jaehyuk Lee, Kangbin Yim
doaj +1 more source