دانلود کتاب یادگیری ماشین، بلاک چین و امنیت سایبری در محیط های هوشمند – کاربرد و چالش ها

Technology presents a golden opportunity for mankind to brighten the prospects of future generations. Machine Learning, Blockchain, and Cyber Security in Smart Environments: Applications and Challenges provides profound insights into recent techniques designed to augment machine learning, the Internet of Things, big data and cyber security in vari­ous applications such as healthcare, commerce, e-communications, agriculture, and the smart world. Our various environments, including homes and workplaces, require regu­lar monitoring to manage and eliminate anomalies effectively. With the dawn of artificial intelligence (AI), human potential can be mimicked by deploying a variety of different algorithms. Machine learning, together with the use of statistical techniques, is an inter­disciplinary field that enables computer systems to learn and adapt according to their environment. Virtual assistants like Alexa, Siri, and Bixby can respond to your queries, schedule appointments, book restaurant, play music, and control smart devices.

Cyber security is not only a booming research area within computer science but also plays a major role in the life of almost every individual, organization, society, and country. We live in an era that is increasingly reliant on technology. Sensitive information such as bank details, government identification details, and social security numbers are stored on web portals. Data breaches can lead to economic, reputational, and regulatory damage. Individuals and the corporate sector have to implement cyber security protocols to securely store their information. The popularity and utility of blockchain technology has signifi­cantly changed the working of digital transactions. With an increasing number of consortia, cheaper running costs, and more pilots and tests in progress, blockchain is rapidly becom­ing more widely accepted. Blockchain investment is used to provide trust in decentralized environments with relatively inexpensive security encryption, transparent transactions, and traceability. This book mainly focuses on the benefits of emerging applications such as machine learning, blockchain, and cyber security. We can make use of these applications for security, for learning and other things by enabling systems to automatically learn and improve from experience without being explicitly programmed.

This book aims to teach university students and researchers about cutting-edge tech­nologies that can deliver a vast amount of information seamlessly, as well as investigating real-time problems that need to be addressed.