{"product_id":"cybersecurity-in-intelligent-networking-systems-hardcover-1","title":"Cybersecurity in Intelligent Networking Systems - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eShengjie Xu\u003c\/b\u003e (Author), \u003cb\u003eYi Qian\u003c\/b\u003e (Author), \u003cb\u003eRose Qingyang Hu\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eCYBERSECURITY IN INTELLIGENT NETWORKING SYSTEMS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eHelp protect your network system with this important reference work on cybersecurity \u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eCybersecurity and privacy are critical to modern network systems. As various malicious threats have been launched that target critical online services--such as e-commerce, e-health, social networks, and other major cyber applications--it has become more critical to protect important information from being accessed. Data-driven network intelligence is a crucial development in protecting the security of modern network systems and ensuring information privacy. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eCybersecurity in Intelligent Networking Systems\u003c\/i\u003e provides a background introduction to data-driven cybersecurity, privacy preservation, and adversarial machine learning. It offers a comprehensive introduction to exploring technologies, applications, and issues in data-driven cyber infrastructure. It describes a proposed novel, data-driven network intelligence system that helps provide robust and trustworthy safeguards with edge-enabled cyber infrastructure, edge-enabled artificial intelligence (AI) engines, and threat intelligence. Focusing on encryption-based security protocol, this book also highlights the capability of a network intelligence system in helping target and identify unauthorized access, malicious interactions, and the destruction of critical information and communication technology. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eCybersecurity in Intelligent Networking Systems \u003c\/i\u003ereaders will also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e Fundamentals in AI for cybersecurity, including artificial intelligence, machine learning, and security threats\u003c\/li\u003e \u003cli\u003e Latest technologies in data-driven privacy preservation, including differential privacy, federated learning, and homomorphic encryption\u003c\/li\u003e \u003cli\u003e Key areas in adversarial machine learning, from both offense and defense perspectives\u003c\/li\u003e \u003cli\u003e Descriptions of network anomalies and cyber threats\u003c\/li\u003e \u003cli\u003e Background information on data-driven network intelligence for cybersecurity\u003c\/li\u003e \u003cli\u003e Robust and secure edge intelligence for network anomaly detection against cyber intrusions\u003c\/li\u003e \u003cli\u003e Detailed descriptions of the design of privacy-preserving security protocols\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eCybersecurity in Intelligent Networking Systems \u003c\/i\u003eis an essential reference for all professional computer engineers and researchers in cybersecurity and artificial intelligence, as well as graduate students in these fields.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eHelp protect your network system with this important reference work on cybersecurity \u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eCybersecurity and privacy are critical to modern network systems. As various malicious threats have been launched that target critical online services--such as e-commerce, e-health, social networks, and other major cyber applications--it has become more critical to protect important information from being accessed. Data-driven network intelligence is a crucial development in protecting the security of modern network systems and ensuring information privacy. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eCybersecurity in Intelligent Networking Systems\u003c\/i\u003e provides a background introduction to data-driven cybersecurity, privacy preservation, and adversarial machine learning. It offers a comprehensive introduction to exploring technologies, applications, and issues in data-driven cyber infrastructure. It describes a proposed novel, data-driven network intelligence system that helps provide robust and trustworthy safeguards with edge-enabled cyber infrastructure, edge-enabled artificial intelligence (AI) engines, and threat intelligence. Focusing on encryption-based security protocol, this book also highlights the capability of a network intelligence system in helping target and identify unauthorized access, malicious interactions, and the destruction of critical information and communication technology. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eCybersecurity in Intelligent Networking Systems \u003c\/i\u003ereaders will also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e Fundamentals in AI for cybersecurity, including artificial intelligence, machine learning, and security threats\u003c\/li\u003e \u003cli\u003e Latest technologies in data-driven privacy preservation, including differential privacy, federated learning, and homomorphic encryption\u003c\/li\u003e \u003cli\u003e Key areas in adversarial machine learning, from both offense and defense perspectives\u003c\/li\u003e \u003cli\u003e Descriptions of network anomalies and cyber threats\u003c\/li\u003e \u003cli\u003e Background information on data-driven network intelligence for cybersecurity\u003c\/li\u003e \u003cli\u003e Robust and secure edge intelligence for network anomaly detection against cyber intrusions\u003c\/li\u003e \u003cli\u003e Detailed descriptions of the design of privacy-preserving security protocols\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eCybersecurity in Intelligent Networking Systems \u003c\/i\u003eis\u003ci\u003e \u003c\/i\u003ean essential reference for all professional computer engineers and researchers in cybersecurity and artificial intelligence, as well as graduate students in these fields.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eShengjie Xu, PhD, \u003c\/b\u003eis an IEEE member and is an Assistant Professor in the Management Information Systems Department at San Diego State University, USA. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eYi Qian, PhD, \u003c\/b\u003eis an IEEE Fellow and is a Professor in the Department of Electrical and Computer Engineering at the University of Nebraska-Lincoln, USA. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eRose Qingyang Hu, PhD, \u003c\/b\u003eis an IEEE Fellow. She is also a Professor with the Electrical and Computer Engineering Department and the Associate Dean for Research of the College of Engineering, Utah State University, USA.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 144\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.38 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 20, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212057919737,"sku":"9781119783916","price":194.4,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/NUd6Sm1EcW5iNmt1eSt3VWs0dU5nUT09_e2f561fb-7cd3-4718-b91f-268e5a401f23.webp?v=1768087940","url":"https:\/\/bookscloud.io\/products\/cybersecurity-in-intelligent-networking-systems-hardcover-1","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}