It takes the average reader 8 hours and 11 minutes to read Automated Secure Computing for Next-Generation Systems by Amit Kumar Tyagi
Assuming a reading speed of 250 words per minute. Learn more
AUTOMATED SECURE COMPUTING FOR NEXT-GENERATION SYSTEMS This book provides cutting-edge chapters on machine-empowered solutions for next-generation systems for today’s society. Security is always a primary concern for each application and sector. In the last decade, many techniques and frameworks have been suggested to improve security (data, information, and network). Due to rapid improvements in industry automation, however, systems need to be secured more quickly and efficiently. It is important to explore the best ways to incorporate the suggested solutions to improve their accuracy while reducing their learning cost. During implementation, the most difficult challenge is determining how to exploit AI and ML algorithms for improved safe service computation while maintaining the user’s privacy. The robustness of AI and deep learning, as well as the reliability and privacy of data, is an important part of modern computing. It is essential to determine the security issues of using AI to protect systems or ML-based automated intelligent systems. To enforce them in reality, privacy would have to be maintained throughout the implementation process. This book presents groundbreaking applications related to artificial intelligence and machine learning for more stable and privacy-focused computing. By reflecting on the role of machine learning in information, cyber, and data security, Automated Secure Computing for Next-Generation Systems outlines recent developments in the security domain with artificial intelligence, machine learning, and privacy-preserving methods and strategies. To make computation more secure and confidential, the book provides ways to experiment, conceptualize, and theorize about issues that include AI and machine learning for improved security and preserve privacy in next-generation-based automated and intelligent systems. Hence, this book provides a detailed description of the role of AI, ML, etc., in automated and intelligent systems used for solving critical issues in various sectors of modern society. Audience Researchers in information technology, robotics, security, privacy preservation, and data mining. The book is also suitable for postgraduate and upper-level undergraduate students.
Automated Secure Computing for Next-Generation Systems by Amit Kumar Tyagi is 484 pages long, and a total of 122,936 words.
This makes it 163% the length of the average book. It also has 150% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 11 hours and 11 minutes to read Automated Secure Computing for Next-Generation Systems aloud.
Automated Secure Computing for Next-Generation Systems is suitable for students ages 12 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.
Automated Secure Computing for Next-Generation Systems by Amit Kumar Tyagi is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Automated Secure Computing for Next-Generation Systems by Amit Kumar Tyagi on Amazon click the button below.
Buy Automated Secure Computing for Next-Generation Systems on Amazon