Defending Against Cyber Threats in the Smart Healthcare Ecosystem
暫譯: 守護智慧醫療生態系統，抵禦網路威脅
Bhardwaj, Akashdeep, Sinha, Keshav, Sumitra
- 出版商: CRC
- 出版日期: 2026-11-25
- 售價: $2,550
- 貴賓價: 9.5 折 $2,422
- 語言: 英文
- 頁數: 332
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1041250037
- ISBN-13: 9781041250036
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相關分類:
Penetration-test、Machine Learning、物聯網 IoT
尚未上市，無法訂購
相關主題
商品描述
This book offers a practical guide to securing smart Internet of Things (IoT)-based healthcare devices against cyber threats through hands-on tools, threat modeling, risk scoring, and artificial intelligence (AI)-enhanced defenses.
Healthcare is undergoing rapid digital transformation, with smart IoT devices from wearable monitors to implantable sensors integrated deeply into patient care and hospital workflows. While these innovations improve efficiency and outcomes, they also introduce new and severe cyber threats. Attackers now exploit vulnerabilities in IoT firmware, protocols, and networks, leading to risks that threaten patient safety, privacy, and trust. This book provides a practical, cyber-threat-focused guide to securing healthcare IoT environments. Unlike existing titles that emphasize general healthcare IT or clinical applications of AI, this volume focuses squarely on the cybersecurity challenges of IoT medical systems and shows how AI techniques can be leveraged to target and mitigate these threats. The chapters progress logically from real-world threat incidents to architectural vulnerabilities and then to applied AI-based detection techniques. Readers are guided through:
- Analyzing IoT-specific threats in healthcare environments.
- Identifying vulnerabilities in devices and communication protocols.
- Using AI/machine learning (ML) methods for intrusion and malware detection.
- Applying threat modeling frameworks with AI-based risk scoring.
- Implementing federated learning (FL) to preserve patient privacy in collaborative detection.
- Designing Zero Trust architectures (ZTAs) adapted to healthcare IoT networks.
- Applying explainable and ethical AI methods for transparent security decision-making.
Each chapter combines conceptual depth with practical labs, datasets, and exercises. Readers build hands-on skills using tools such as TensorFlow, PyTorch, Flower, Wireshark, and Nmap, and experiment with benchmark datasets such as CICIDS2017, BoT-IoT, and CVE/National Vulnerability Database (NVD) vulnerabilities. By bridging theory with practice, this book serves as a professional reference for cybersecurity practitioners, a hands-on textbook for postgraduate courses, and a research guide for academics. Its dual orientation ensures relevance in industry, research, and education, preparing readers to secure the digital frontiers of modern healthcare.
商品描述(中文翻譯)
本書透過實作工具、威脅建模、風險評分，以及 AI 強化的防禦機制，提供一套實用指南，協助讀者保護以智慧型 Internet of Things (IoT) 為基礎的醫療裝置，抵禦網路威脅。
醫療產業正經歷快速的數位轉型，從穿戴式監測器到植入式感測器，各類智慧型 IoT 裝置已深度整合至病患照護與醫院工作流程中。這些創新雖然提升了效率與醫療成效，卻也帶來全新且嚴重的網路威脅。攻擊者如今會利用 IoT 韌體、通訊協定與網路中的漏洞，造成危及病患安全、隱私與信任的風險。本書提供一套以網路威脅為核心、實務導向的醫療 IoT 環境安全指南。不同於著重一般醫療 IT 或 AI 臨床應用的既有書籍，本書聚焦於 IoT 醫療系統所面臨的網路安全挑戰，並說明如何運用 AI 技術鎖定及緩解這些威脅。本書各章依循清晰的邏輯，從真實世界的威脅事件，進展至架構漏洞，再延伸到實際應用的 AI 式偵測技術。讀者將逐步學習：
• 分析醫療環境中的 IoT 特有威脅。
• 識別裝置與通訊協定中的漏洞。
• 使用 AI／machine learning (ML) 方法進行入侵與惡意軟體偵測。
• 應用威脅建模框架，搭配 AI 式風險評分。
• 實作 federated learning (FL)，在協同式偵測中維護病患隱私。
• 設計適用於醫療 IoT 網路的 Zero Trust 架構 (Zero Trust Architectures, ZTAs)。
• 應用可解釋且符合倫理的 AI 方法，實現透明的安全決策。
每一章都結合理論深度與實作實驗、資料集及練習。讀者將使用 TensorFlow、PyTorch、Flower、Wireshark 與 Nmap 等工具建立實作能力，並針對 CICIDS2017、BoT-IoT，以及 CVE／National Vulnerability Database (NVD) 漏洞等基準資料集進行實驗。本書串聯理論與實務，可作為網路安全從業人員的專業參考書、研究所課程的實作型教材，以及學術研究者的研究指南。其兼具產業與學術的雙重導向，確保內容適用於業界、研究與教育領域，協助讀者為現代醫療的數位前線建立安全防護。
作者簡介
Dr. Akashdeep Bhardwaj is working as Professor and Director of Cybersecurity Centre of Excellence at UPES, Dehradun, India and is the CEO of Global Cybersecurity Association (GCA). An eminent IT Industry expert in areas such as Cybersecurity, Digital Forensics and IT Operations, Dr. Akashdeep mentors graduate, master's and doctoral students and leads several projects. Dr. Akashdeep is a Post-Doctoral from Majmaah University, Saudi Arabia, Ph.D. in Computer Science, Post Graduate Diploma in Management (equivalent to MBA), and holds an Engineering Degree in Computer Science. Dr. Akashdeep has published over 200 research including journal manuscripts, copyrights, patents and books in highly referred international publications. Dr. Akashdeep worked as Technology Leader for several multinational organizations during his time in the IT industry. Dr. Akashdeep is certified in multiple technologies including Compliance Audits, Cybersecurity, and industry certifications in Microsoft, Cisco, and VMware technologies.
Dr. Keshav Sinha is an Assistant professor specializing in Cryptography and Network Security, with research focused on developing secure environments for Multimedia Transmission. His contributions extend beyond cryptography into Soft Computing, Humanities, and Cyber Policy, emphasizing innovation and flexibility in computer science. With a strong academic background and numerous publications in reputable conferences and journals, he has established himself as a dedicated researcher and educator. His expertise in cryptography and cybersecurity, coupled with his interdisciplinary approach, has positioned him as a thought leader in the field. His work in emerging security frameworks, regulatory challenges, and AI-driven cryptographic advancements continues to shape the future of digital security.
Dr. Sumitra is an Assistant Professor at UPES, Dehradun, India. She earned her Ph.D. from the Birla Institute of Technology and Science (BITS) Pilani, India. Her research primarily focuses on IoT security, artificial intelligence and machine learning (AI/ML), and federated learning. Dr. Sumitra has contributed extensively to the field through publications in reputed international journals, including the Journal of Network and Computer Applications and Internet of Things. Her research excellence was recognized with the Outstanding Research Article Award at the Doctoral Colloquium, BITS Pilani, for her work titled "RPL: An Explainable AI-based Routing Protocol for the Internet of Mobile Things."
作者簡介(中文翻譯)
Dr. Akashdeep Bhardwaj 是印度德拉敦 UPES 的教授兼網路安全卓越中心主任，也是 Global Cybersecurity Association (GCA) 的執行長。他是 IT 產業領域的傑出專家，專長涵蓋網路安全、數位鑑識與 IT 營運。Dr. Akashdeep 指導大學部、碩士班與博士班學生，並領導多項研究計畫。Dr. Akashdeep 曾於沙烏地阿拉伯 Majmaah University 擔任博士後研究人員，擁有 Computer Science 博士學位、管理學研究所文憑（相當於 MBA），以及 Computer Science 工程學位。他已在具高度學術影響力的國際出版物中發表超過 200 篇研究成果，包括期刊論文、著作權、專利與書籍。在 IT 產業任職期間，Dr. Akashdeep 曾擔任多家跨國組織的技術領導者。他持有多項技術認證，包括合規性稽核、網路安全，以及 Microsoft、Cisco 和 VMware 技術相關的業界認證。
Dr. Keshav Sinha 是一名專攻密碼學與網路安全的助理教授，其研究著重於為多媒體傳輸建立安全環境。他的研究貢獻不僅涵蓋密碼學，也延伸至軟計算、人文學科與網路政策，強調 Computer Science 領域中的創新與彈性。憑藉深厚的學術背景，以及在知名會議與期刊上發表的多篇論文，他已成為一名積極投入的研究者與教育工作者。他在密碼學與網路安全方面的專業，加上跨學科的研究方法，使他成為該領域的思想領袖。他在新興安全架構、法規挑戰，以及 AI 驅動的密碼學發展方面的研究，持續塑造數位安全的未來。
Dr. Sumitra 是印度德拉敦 UPES 的助理教授。她在印度 Birla Institute of Technology and Science (BITS) Pilani 取得博士學位。她的研究主要聚焦於 IoT 安全、人工智慧與機器學習 (AI/ML)，以及聯邦學習。Dr. Sumitra 透過在知名國際期刊發表研究成果，對該領域做出廣泛貢獻，相關期刊包括 Journal of Network and Computer Applications 與 Internet of Things。她的研究卓越表現獲得 BITS Pilani 博士研究生研討會的傑出研究論文獎，得獎作品為〈RPL：適用於行動物聯網的可解釋 AI 路由協定〉。
