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Machine Learning for Cybersecurity = Innovative Deep Learning Solutions /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine Learning for Cybersecurity/ by Marwan Omar.
Reminder of title:	Innovative Deep Learning Solutions /
Author:	Omar, Marwan.
Description:	VIII, 48 p. 32 illus., 22 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Mobile and Network Security. -
Online resource:	https://doi.org/10.1007/978-3-031-15893-3
ISBN:	9783031158933

Machine Learning for Cybersecurity = Innovative Deep Learning Solutions /
Omar, Marwan.

Machine Learning for CybersecurityInnovative Deep Learning Solutions /[electronic resource] :by Marwan Omar. - 1st ed. 2022. - VIII, 48 p. 32 illus., 22 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5776. - SpringerBriefs in Computer Science,.

1. Application of Machine Learning (ML) to Address Cyber Security Threats -- 2. New Approach to Malware Detection Using Optimized Convolutional Neural Network -- 3. Malware Anomaly Detection Using Local Outlier Factor Technique. .

This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning 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 Advanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the application of machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.

ISBN: 9783031158933

Standard No.: 10.1007/978-3-031-15893-3doiSubjects--Topical Terms:

1211619
Mobile and Network Security.

LC Class. No.: Q325.5-.7

Dewey Class. No.: 006.31

Machine Learning for Cybersecurity = Innovative Deep Learning Solutions /
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