{"product_id":"big-data-analytics-in-fog-enabled-iot-networks-towards-a-privacy-and-security-perspective","title":"Big Data Analytics in Fog-Enabled IoT Networks","description":"\u003cp\u003eThe integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems.\u003cem\u003e Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective\u003c\/em\u003e focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks.\u003c\/p\u003e\u003cp\u003eThis book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":49805910212952,"sku":"9781032206455","price":59.99,"currency_code":"EUR","in_stock":true}],"url":"https:\/\/agendabookshop.com\/products\/big-data-analytics-in-fog-enabled-iot-networks-towards-a-privacy-and-security-perspective","provider":"Agenda Bookshop","version":"1.0","type":"link"}