{"product_id":"cybersecurity-in-intelligent-networking-systems","title":"Cybersecurity in Intelligent Networking Systems","description":"\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","brand":"Rose Qingyang Hu","offers":[{"title":"Default Title","offer_id":42818225406013,"sku":"9781119783916","price":192.56,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0597\/7689\/2989\/files\/9781119783916_0285cb61-bbcc-4932-bd3f-a4b4d0b5c789.jpg?v=1766916812","url":"https:\/\/www.palmleaf.com.au\/products\/cybersecurity-in-intelligent-networking-systems","provider":"Palmleaf","version":"1.0","type":"link"}