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Machine Learning for Smart Homes
James P. Rose
(Author)
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Priya Publishers
· Paperback
Machine Learning for Smart Homes - P. Rose, James
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Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Friday, August 09 and
Wednesday, August 21.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Machine Learning for Smart Homes"
Smart home technology (SHT), an Internet of Things (IoT) application, is a growing industry centered on the remote control of devices and networks that offers convenience, cost savings, energy efficiency, and improved quality of life. However, in the face of mounting evidence, several federal agencies and security experts have voiced concerns about the susceptibility of these networked devices to cyber-attacks. They are also susceptible to secure shell (SSH) brute force attacks, often followed by the propagation of malware through botnets. Recently, machine learning (ML) algorithms have been deployed for anomaly detection based on similarities and trends in network traffic. Thus, ML algorithms may be used to develop prediction models for detecting network attacks automatically. This study offers a comprehensive examination of the use of ML techniques to detect these two prevalent SHT network attacks, SSH brute force and botnet attacks.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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