商品描述
Cyber threats are a common issue to your security and privacy. As various malicious threats and malware 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 preserving the integrity of your computer by identifying anomalies and ensuring information privacy.
Data-driven Network Intelligence for Cybersecurity provides 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 safeguards for edge-enabled infrastructure, edge-enabled artificial intelligence (AI) engines, and threat intelligence. Focusing particularly on encryption-based anomaly detection protocol, this book 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.
Data-driven Network Intelligence for Cybersecurity readers will also find:
- Discussion of network anomalies and cyber threats
- Background information on AI and cyber infrastructure, particularly as regards trustworthy and robust artificial intelligence applications
- A presentation of a system and security model in the edge intelligence
- Detailed descriptions of the design of predicates and privacy-preserving anomaly detection features
Data-driven Network Intelligence for Cybersecurity is an essential reference for all professional computer engineers and researchers in cyber security and artificial intelligence, as well as graduate students in these fields.
商品描述(中文翻譯)
這本重要的資料安全參考書將幫助您保護網路安全。
網路威脅對您的安全和隱私是一個普遍的問題。隨著針對重要的線上服務（如電子商務、電子健康、社交網路和其他主要的網路應用）的惡意威脅和惡意軟體的不斷出現，保護重要資訊免受存取變得更加重要。基於資料的網路智能是保護您的電腦完整性的關鍵發展，它通過識別異常情況和確保資訊隱私來實現。
《資料驅動的網路智能與資訊安全》提供了一個全面的介紹，探討了資料驅動的網路基礎設施中的技術、應用和問題。它描述了一個提出的新穎的資料驅動的網路智能系統，幫助提供邊緣啟用基礎設施、邊緣啟用人工智能引擎和威脅情報的保護措施。本書特別關注基於加密的異常檢測協議，突出了網路智能系統在幫助定位和識別未經授權存取、惡意互動以及破壞重要資訊和通訊技術方面的能力。
《資料驅動的網路智能與資訊安全》的讀者還將找到以下內容：
- 網路異常和網路威脅的討論
- 人工智能和網路基礎設施的背景資訊，特別是關於可信和強大的人工智能應用
- 邊緣智能系統和安全模型的介紹
- 詳細描述預測和保護隱私的異常檢測功能的設計
《資料驅動的網路智能與資訊安全》是所有專業的電腦工程師和資訊安全、人工智能領域的研究人員以及這些領域的研究生的重要參考資料。
作者簡介
Shengjie Xu, PhD, is Assistant Professor of the Beacom College of Computer and Cyber Sciences Department at Dakota State University, US.
Yi Qian, PhD, is an IEEE member and is a Professor in the Department of Electrical and Computer Engineering at the University of Nebraska-Lincoln, US
Rose Qingyang Hu, PhD, is an IEEE member. 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, US.
作者簡介(中文翻譯)
Shengjie Xu博士是美國Dakota State University Beacom College of Computer and Cyber Sciences Department的助理教授。
Yi Qian博士是美國University of Nebraska-Lincoln電機與電腦工程系的教授，同時也是IEEE會員。
Rose Qingyang Hu博士是IEEE會員，同時也是美國Utah State University電機與電腦工程系的教授，並擔任工程學院研究副院長。
