Cybersecurity in Intelligent Networking Systems

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 protec帕图斯ting the security of modern network systems and ensuring information privacy.

Cybersecurity in Intelligent Networking Systemsprovides a background introduction to data-driven cybersecurity, privacy preservation, and adversarial machine lear积家ning. It offers a comprehensive introduction to exploring technologies, applications, and issues特斯拉 (1) 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 pr浪琴 (1)otocol, 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 Systemsreaders 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 Systemsis an essential reference for all professional computer engineers and researchers in cybersecurity and artificial intelligence, as well as graduate students in these fields.

中文：

书名：智能网络系统中的网络安全

智能网络系统中的网络安全

通过这项关于网络安全的重要参考工作，帮助保护您的网络系统

网络安全和隐私对于现代网络系统至关重要。随着针对关键在线服务 (例如电子商务，电子健康，社交网络和其他主要网络应用程序) 的各种恶意威胁的发起，保护重要信息不被访问变得更加重要。数据驱动的网络智能是保护现代网络系统安全和确保信息隐私的关键发展。

智能网络系统中的网络安全提供了数据驱动的网络安全，隐私保护和对抗性机器学习的背景介绍。它全面介绍了探索数据驱动的网络基础架构中的技术，应用程序和问题。它描述了一种拟议的新颖的数据驱动网络智能系统，该系统通过支持边缘的网络基础架构，支持边缘的人工智能 (AI) 引擎和威胁情报来帮助提供强大且可信赖的保护措施。本书着重于基于加密的安全协议，还强调了网络智能系统在帮助目标和识别未经授权的访问，恶意交互以及关键信息和通信技术的破坏方面的能力。

智能网络系统中的网络安全读者还将发现:

• 人工智能网络安全基础知识，包括人工智能、机器学习和安全威胁
• 数据驱动隐私保护最新技术，包括差异隐私、联合学习、同态加密
• 对抗性机器学习的关键领域，从攻防两个角度
• 网络异常和网络威胁描述
• 数据驱动网络智能网络安全背景信息
• 鲁棒安全的边缘智能，用于网络入侵的网络异常检测
• 隐私保护安全协议设计的详细说明

智能网络系统中的网络安全是所有网络安全和人工智能专业计算机工程师和研究人员以及这些领域的研究生的重要参考。