How Long to Read Privacy Preservation in IoT: Machine Learning Approaches

How Long Does it Take to Read Privacy Preservation in IoT: Machine Learning Approaches?

It takes the average reader 2 hours and 10 minutes to read Privacy Preservation in IoT: Machine Learning Approaches by Youyang Qu

Assuming a reading speed of 250 words per minute. Learn more

Description

This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner. The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions. Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates.

How long is Privacy Preservation in IoT: Machine Learning Approaches?

Privacy Preservation in IoT: Machine Learning Approaches by Youyang Qu is 127 pages long, and a total of 32,639 words.

This makes it 43% the length of the average book. It also has 40% more words than the average book.

How Long Does it Take to Read Privacy Preservation in IoT: Machine Learning Approaches Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours and 58 minutes to read Privacy Preservation in IoT: Machine Learning Approaches aloud.

What Reading Level is Privacy Preservation in IoT: Machine Learning Approaches?

Privacy Preservation in IoT: Machine Learning Approaches is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Privacy Preservation in IoT: Machine Learning Approaches?

Privacy Preservation in IoT: Machine Learning Approaches by Youyang Qu is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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