ARKAIV: Predicting Data Exfiltration Using Supervised Machine Learning Based on Tactics Mapping From Threat Reports and Event Logs

ARKAIV: Predicting Data Exfiltration Using Supervised Machine Learning Based on Tactics Mapping From Threat Reports and Event Logs

Data breach attacks are unique, particularly when attackers exfiltrate data from their target’s systems. As data breaches continue to increase in both frequency and severity, they pose escalating risks to organizations and society. Despite this, no prior research has focused on predicting...

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Bibliographic Details
Main Authors: Arif Rahman Hakim, Kalamullah Ramli, Muhammad Salman, Bernardi Pranggono, Esti Rahmawati Agustina
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Data exfiltration
event logs
machine learning
tactics mapping
threats report
Online Access:https://ieeexplore.ieee.org/document/10818683/
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https://ieeexplore.ieee.org/document/10818683/

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