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omar m machine learning cybersecurity solutions 2022

Type:: E-books
Files:: 1
Size:: 6.6 MB
Uploaded On:: Sept. 27, 2022, 8:25 a.m.
Added By:: andryold1
Seeders:: 3
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Info Hash:: 9C93E91AB6710D572D8025A335271F6233E3A0BB

Textbook in PDF format This SpringerBrief presents the underlying principles of Machine Learning (ML) and how to deploy various Deep Learning (DL) tools and techniques to tackle and solve certain challenges facing the cybersecurity industry. By implementing innovative Deep Learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior. The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effective

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Omar M. Machine Learning for Cybersecurity...Solutions 2022.pdf 6.6 MB

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omar m machine learning cybersecurity solutions 2022

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