Название: Artificial Intelligence and Blockchain in Industry 4.0
Автор: Rohit Sharma, Rajendra Prasad Mahapatra, Gwanggil Jeon
Издательство: CRC Press
Год: 2024
Страниц: 333
Язык: английский
Формат: pdf (true)
Размер: 27.8 MB
The book addresses the challenges in designing blockchain-based secured solutions for Industry 4.0 applications using artificial intelligence. It further provides a comparative analysis of various advanced security approaches such as edge computing, cybersecurity, and cloud computing in the realm of information technology. Industry 4.0 has significantly exploded as a result of using the Internet of Things’ (IoT) recent large- scale growth, which executes the intricate data analysis of confidential material that must be safeguarded against cybersecurity attacks. In a number of industries, including home automation, healthcare, electricity, agriculture, automation, and industrial processes, cybersecurity threats have rapidly increased. IoT device sensors produce a lot of data due to their broad range of services, which necessitates authori- sation, security, and privacy. In the past, conventional frameworks and pro- cedures were employed to guarantee IoT security. But over time, the use of various Artificial Intelligence (AI) techniques for spotting cybersecurity breaches has grown in favour .
Автор: Rohit Sharma, Rajendra Prasad Mahapatra, Gwanggil Jeon
Издательство: CRC Press
Год: 2024
Страниц: 333
Язык: английский
Формат: pdf (true)
Размер: 27.8 MB
The book addresses the challenges in designing blockchain-based secured solutions for Industry 4.0 applications using artificial intelligence. It further provides a comparative analysis of various advanced security approaches such as edge computing, cybersecurity, and cloud computing in the realm of information technology. Industry 4.0 has significantly exploded as a result of using the Internet of Things’ (IoT) recent large- scale growth, which executes the intricate data analysis of confidential material that must be safeguarded against cybersecurity attacks. In a number of industries, including home automation, healthcare, electricity, agriculture, automation, and industrial processes, cybersecurity threats have rapidly increased. IoT device sensors produce a lot of data due to their broad range of services, which necessitates authori- sation, security, and privacy. In the past, conventional frameworks and pro- cedures were employed to guarantee IoT security. But over time, the use of various Artificial Intelligence (AI) techniques for spotting cybersecurity breaches has grown in favour .