In the era of generative artificial intelligence and the Internet of Things (IoT) and while there is explosive growth in the volume of data and the associated need for processing, analysis, and storage, several new challenges have arisen in identifying spurious and fake information and protecting the privacy of sensitive data. This has led to an increasing demand for more robust and resilient schemes for authentication, integrity protection, encryption, non-repudiation, and privacy preservation of data. This book presents some of the state-of-the-art research in the field of cryptography and security in computing and communications. It is a useful resource for researchers, engineers, practitioners, and graduate and doctoral students in the field of cryptography, network security, data privacy issues, and machine learning applications in the security and privacy in the context of the IoT.