A Framework for Budget-Constrained Zero-Day Cyber Threat Mitigation: A Knowledge-Guided Reinforcement Learning Approach. [PDF]
Sensors (Basel)Basak M, Shin GY.
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Integrating AI and Knowledge Graphs with MITRE ATT&CK
Artificial Intelligence Applications and InnovationsMavridis, Apostolos +4 more
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Нормализация событий информационной безопасности операционных систем с использованием MITRE ATT&CK
This article discusses the normalization of information security events in operating systems using the MITRE ATT&CK framework. Examples of normalized events for Windows and Linux are provided, and it is shown how mapping to MITRE ATT&CK simplifies threat analysis and attack chain construction. The results of the study show that event normalization is a
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An Internet of Medical Things Cyber Security Assessment Model (IoMT-CySAM). [PDF]
CureusJaidi F, Ksibi S, Bouhoula A.
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A Comprehensive Survey on Online AutoML and Adversarial Robustness for IoT and EV Charging Network Security. [PDF]
Sensors (Basel)Zaheer W +4 more
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Advanced persistent threat detection through multi-modal behavioral analysis. [PDF]
PLoS OneAlshamrani A.
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A cost effective machine learning based network intrusion detection system using Raspberry Pi for real time analysis. [PDF]
PLoS OneWijethilaka RWKS, Yapa K, Siriwardena D.
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A multi-label visualisation approach for malware behaviour analysis. [PDF]
Sci RepUysal DT +4 more
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A Systematic Review of Cyber Threat Intelligence: The Effectiveness of Technologies, Strategies, and Collaborations in Combating Modern Threats. [PDF]
Sensors (Basel)Santos P +4 more
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Ensemble machine learning for proactive android ransomware detection using network traffic. [PDF]
Sci RepKirubavathi G +6 more
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