Cybersecurity in Intelligent Networking Systems

Cybersecurity in Intelligent Networking Systems (IEEE Press) 1st Edition
by Shengjie Xu (Author), Yi Qian (Author), Rose Qingyang Hu (Author)
Publisher Finelybook 出版社:Wiley-IEEE Press; 1st edition (November 15, 2022)
Language 语言:English
pages 页数:144 pages
ISBN-10 书号:1119783917
ISBN-13 书号:9781119783916

Book Description
CYBERSECURITY IN INTELLIGENT NETWORKING SYSTEMS
Help protect your network system with this important reference work on cybersecurity

Cybersecurity 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.

Cybersecurity in Intelligent Networking Systems 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.

Cybersecurity in Intelligent Networking Systems readers will also find:

Fundamentals in AI for cybersecurity, including artificial intelligence, machine learning, and security threats
Latest technologies in data-driven privacy preservation, including differential privacy, federated learning, and homomorphic encryption
Key areas in adversarial machine learning, from both offense and defense perspectives
Descriptions of network anomalies and cyber threats
Background information on data-driven network intelligence for cybersecurity
Robust and secure edge intelligence for network anomaly detection against cyber intrusions
Detailed descriptions of the design of privacy-preserving security protocols
Cybersecurity in Intelligent Networking Systems is an essential reference for all professional computer engineers and researchers in cybersecurity and artificial intelligence, as well as graduate students in these fields.

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