Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment
<p dir="ltr">There is an increase in cyberattacks directed at the network behind firewalls. An all-inclusive approach is proposed in this assessment to deal with the problem of identifying new, complicated threats and the appropriate countermeasures. In particular, zero-day attacks a...
محفوظ في:
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| مؤلفون آخرون: | , , , , , , |
| منشور في: |
2023
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| الملخص: | <p dir="ltr">There is an increase in cyberattacks directed at the network behind firewalls. An all-inclusive approach is proposed in this assessment to deal with the problem of identifying new, complicated threats and the appropriate countermeasures. In particular, zero-day attacks and multi-step assaults, which are made up of a number of different phases, some malicious and others benign, illustrate this problem well. In this paper, we propose a highly Boosted Neural Network to detect the multi-stageattack scenario. This paper demonstrated the results of executing various machine learning algorithms and proposed an enormously boosted neural network. The accuracy level achieved in the prediction of multi-stage cyber attacks is 94.09% (Quest Model), 97.29% (Bayesian Network), and 99.09% (Neural Network). The evaluation results of the Multi-Step Cyber-Attack Dataset (MSCAD) show that the proposed Extremely Boosted Neural Network can predict the multi-stage cyber attack with 99.72% accuracy. Such accurate prediction plays a vital role in managing cyber attacks in real-time communication.</p><p dir="ltr">Correction: Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment: <a href="https://dx.doi.org/10.1186/s13677-023-00551-2" target="_blank">https://dx.doi.org/10.1186/s13677-023-00551-2</a>, published online 28 November 2023.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Cloud Computing<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s13677-022-00356-9" target="_blank">https://dx.doi.org/10.1186/s13677-022-00356-9</a></p> |
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