Machine Learning for Embedded System Security, Hardcover by Halak, Basel (EDT…

Price : 130.33

Ends on : N/A

View on eBay
Machine Learning for Embedded System Security, Hardcover by Halak, Basel (EDT)

In today’s interconnected world, the security of embedded systems is of utmost importance. With the rise of Internet of Things (IoT) devices and smart technologies, the need for secure embedded systems has never been greater. Machine learning, a subset of artificial intelligence, has emerged as a powerful tool in enhancing the security of embedded systems.

In this groundbreaking book, edited by Basel Halak, leading experts in the field of embedded system security delve into the use of machine learning techniques to protect these critical systems from cyber threats. From malware detection to anomaly detection and intrusion prevention, machine learning has the potential to revolutionize the way we safeguard embedded systems.

This comprehensive guide covers a wide range of topics, including:

– Introduction to machine learning and its applications in embedded system security
– Machine learning algorithms for malware detection and classification
– Anomaly detection techniques using machine learning
– Intrusion prevention systems powered by machine learning
– Case studies and real-world examples of machine learning in embedded system security

Whether you are a security professional, a researcher, or a student interested in the intersection of machine learning and embedded system security, this book is a must-read. Stay ahead of the curve and learn how machine learning can help protect the devices that power our connected world.
#Machine #Learning #Embedded #System #Security #Hardcover #Halak #Basel #EDT..