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Security Enhancement Framework through Cyber Attack Prediction based on Attacker Attack Tool
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| Author:
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SUNGWOOK JUNG, JINSU KIM, NAMJE PARK
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| Abstract:
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Big data which means a large amount of data and artificial intelligence which develops through learning algorithms are becoming big topics in terms of security, and research on security techniques applying big data and artificial intelligence has been in progress. Since big data and artificial intelligence can predict results through learning of past data, they are being utilized as a solution to prevent attacks in advance through attack prediction. In this paper, we propose a framework for reinforcing system security through prediction of possible future attacks by collecting attackers' strategies and simulating them in a virtualized environment based on the attack strategies.
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| Keyword:
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attack tool, Machine learning, blockchain, cyber attack prediction
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2021.13.02.163
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| Download:
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