{"product_id":"deep-learning-approaches-for-security-threats-in-iot-environments","title":"Deep Learning Approaches for Security Threats in IoT Environments","description":"\u003cb\u003eDeep Learning Approaches for Security Threats in IoT Environments\u003c\/b\u003e \u003cp\u003e\u003cb\u003eAn expert discussion of the application of deep learning methods in the IoT security environment\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eDeep Learning Approaches for Security Threats in IoT Environments\u003c\/i\u003e, a team of distinguished cybersecurity educators deliver an insightful and robust exploration of how to approach and measure the security of Internet-of-Things (IoT) systems and networks. In this book, readers will examine critical concepts in artificial intelligence (AI) and IoT, and apply effective strategies to help secure and protect IoT networks. The authors discuss supervised, semi-supervised, and unsupervised deep learning techniques, as well as reinforcement and federated learning methods for privacy preservation. \u003c\/p\u003e\u003cp\u003eThis book applies deep learning approaches to IoT networks and solves the security problems that professionals frequently encounter when working in the field of IoT, as well as providing ways in which smart devices can solve cybersecurity issues. \u003c\/p\u003e\u003cp\u003eReaders will also get access to a companion website with PowerPoint presentations, links to supporting videos, and additional resources. They’ll also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e A thorough introduction to artificial intelligence and the Internet of Things, including key concepts like deep learning, security, and privacy\u003c\/li\u003e\n\u003cli\u003e Comprehensive discussions of the architectures, protocols, and standards that form the foundation of deep learning for securing modern IoT systems and networks\u003c\/li\u003e\n\u003cli\u003e In-depth examinations of the architectural design of cloud, fog, and edge computing networks\u003c\/li\u003e\n\u003cli\u003e Fulsome presentations of the security requirements, threats, and countermeasures relevant to IoT networks\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003ePerfect for professionals working in the AI, cybersecurity, and IoT industries, \u003ci\u003eDeep Learning Approaches for Security Threats in IoT Environments\u003c\/i\u003e will also earn a place in the libraries of undergraduate and graduate students studying deep learning, cybersecurity, privacy preservation, and the security of IoT networks.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54011731968344,"sku":null,"price":127.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781119884149.jpg?v=1778489158","url":"https:\/\/agendabookshop.com\/products\/deep-learning-approaches-for-security-threats-in-iot-environments","provider":"Agenda Bookshop","version":"1.0","type":"link"}