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Titlebook: Machine Learning Approaches in Cyber Security Analytics; Tony Thomas,Athira P. Vijayaraghavan,Sabu Emmanuel Book 2020 Springer Nature Sing

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發(fā)表于 2025-3-23 09:59:14 | 只看該作者
Tony Thomas,Athira P. Vijayaraghavan,Sabu Emmanuel
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發(fā)表于 2025-3-23 16:34:28 | 只看該作者
Tony Thomas,Athira P. Vijayaraghavan,Sabu Emmanuel
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發(fā)表于 2025-3-23 19:11:03 | 只看該作者
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發(fā)表于 2025-3-24 00:40:55 | 只看該作者
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發(fā)表于 2025-3-24 03:28:49 | 只看該作者
Introduction to Machine Learning, For example, predicting whether an android application is a malware or goodware during a malware detection process is a classification task, whereas estimating the threat level of a system is a regression task.
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發(fā)表于 2025-3-24 07:07:19 | 只看該作者
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發(fā)表于 2025-3-24 13:10:47 | 只看該作者
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發(fā)表于 2025-3-24 15:04:18 | 只看該作者
Book 2020ed over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts. Further, as cyber attacks become more frequent and sophisticated, there is a requirement for machines to predict, detect, and identify th
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發(fā)表于 2025-3-24 19:03:15 | 只看該作者
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發(fā)表于 2025-3-24 23:32:57 | 只看該作者
Support Vector Machines and Malware Detection,re used in predicting continuous values, and classification models are used in predicting which class a data point is part of. SVMs are mostly used for solving classification problems. At the end of this chapter, we also demonstrate the classification of malware from benign ones.
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