Privacy Vulnerabilities and Data Security Challenges in the IoT
暫譯: 物聯網中的隱私漏洞與數據安全挑戰
Agarwal, Shivani, Makkar, Sandhya, Tran, Duc-Tan
相關主題
商品描述
Privacy Vulnerabilities and Data Security Challenges in the IoT
Subject Guide: Engineering--Industrial and Manufacturing
This book discusses the evolution of security and privacy issues in the Internet of Things (IoT). The book focuses on assembling all security- and privacy-related technologies into a single source so that students, researchers, academics, and those in the industry can easily understand the IoT security and privacy issues.
This edited book discusses the use of security engineering and privacy-by-design principles to design a secure IoT ecosystem and to implement cyber-security solutions. This book takes the readers on a journey that begins with understanding security issues in IoT-enabled technologies and how these can be applied in various sectors. It walks readers through engaging with security challenges and building a safe infrastructure for IoT devices. The book helps researchers and practitioners understand the security architecture of IoT and the state-of-the-art in IoT countermeasures. It also differentiates security threats in IoT-enabled infrastructure from traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on the security challenges and solutions in RFID and WSNs in IoT.
This book aims to highlight the concepts of related technologies and novel findings by researchers through its chapter organization. The primary audience comprises specialists, researchers, graduate students, designers, experts, and engineers undertaking research on security-related issues.
商品描述(中文翻譯)
**物聯網中的隱私漏洞與數據安全挑戰**
**主題指南：工程--工業與製造**
本書探討了物聯網（IoT）中安全與隱私問題的演變。該書專注於將所有與安全和隱私相關的技術整合成一個單一來源，以便學生、研究人員、學者和業界人士能夠輕鬆理解物聯網的安全和隱私問題。
這本編輯書籍討論了如何利用安全工程和隱私設計原則來設計安全的物聯網生態系統並實施網絡安全解決方案。本書帶領讀者從理解物聯網技術中的安全問題開始，並探討這些問題如何應用於各個領域。它引導讀者面對安全挑戰並為物聯網設備建立安全基礎設施。本書幫助研究人員和實務工作者理解物聯網的安全架構及其最新的對策技術。它還區分了物聯網基礎設施中的安全威脅與傳統的臨時或基礎設施網絡，並對物聯網中RFID和無線傳感器網絡（WSNs）的安全挑戰和解決方案進行了全面討論。
本書旨在通過章節組織突出相關技術的概念和研究人員的新發現。主要讀者包括專家、研究人員、研究生、設計師、專業人士和從事安全相關問題研究的工程師。
作者簡介
Shivani Agarwal is an Assistant Professor in KIET School of Management at KIET Group of Institutions, Ghaziabad, India. She has earned her PhD from Indian Institute of Technology (IIT, Roorkee) in Management. Prior to his current role, she was associated with Institute of Technology & Science, Ghaziabad, UP, India, HRIT Group of Institutions, Ghaziabad, UP, India; IIT Roorkee, UK, India and Center for Management Development, Modinagar, UP. She has attended several short term course at Indian Institute of Technology Roorkee, India, IIT Delhi, India; earned NPTEL certificate for Research Writing and Human resource Management. She has authored or co-authored more than 10 research articles that are published in journals, books and conference proceedings. She teaches graduate & post graduate level courses in management. She received Ph.D in Organization Behaviour (Psychology) from IIT Roorkee, India in 2015 and MBA from Guru Gobind Singh University, New Delhi, India in 2009 and a bachelor's degree in Science from Chaudhary Charan Singh University, Meerut, India in 2007. She is the Book Series Editor of Information Technology, Management & Operations Research Practices, CRC Press, Taylor & Francis Group, USA, She is guest editor with IGI-Global, USA. She can be contacted at jindal.shivani24@gmail.com .
Sandhya Makkar is working as Sr. Assistant Professor Department of Operations & Information Systems, Lal Bahadur Shastri Institute of Management, Delhi, India. She has more than 13 years of academic and research experience in Management Science, Supply Chain Optimization, Machine Learning and Big Data. She remained first class throughout her academic career. She holds University Rank during graduation (Mathematics) and post-graduation (Operational Research). She has completed doctoral degree (PhD) in the area of Supply Chain Optimization from University of Delhi, india (DU, Delhi) and has many research papers and articles to her credit. She is actively involved in the research on Supply Chain, Optimization, Artificial Intelligence and other related areas. She is an Area Convener of Logistics and Supply Chain Programme(L&SCM) Programme at Lal bahadur Shastri Institute of Management. She has authored or co-authored numerous research articles that are published in international journals, books and conference proceedings. Currently she is editing few books in the area of Management and Artificial Intelligence. She is also appointed as Book Series Editor of series 'Information Technology, Management, and Operations Research Practices', CRC Press & other series 'Big Data for Industry 4.0: Challenges & Applications', CRC Press, Taylor and Francis Group, USA. Dr. Sandhya has also reviewed various research papers in the same area for various conferences and journals. She is also a member of editorial team of American Association for Science and Technology (AASCIT). She has also presented her work in many International conferences.
Duc-Tan Tran is an Associate professor and Vice Dean of Faculty of Electrical and Electronic Engineering (FEEE), Phenikaa University. From August 2016 to May 2019, he was an Associate professor and Vice Dean ofElectronics and Telecommunication Faculty, VNU University of Engineering and Technology. He has published over 150 research papers. His publications received the "Best Paper Award" at the 9th International Conference on Multimedia and Ubiquitous Engineering (MUE-15), and International Conference on Green and Human Information Technology (ICGHIT-2015). He was the recipient of the award for the excellent young researcher from Vietnam National University in 2008, Hanoi and the third prize in the contest "Vietnamese Talents" in 2008. His main research interests include the representation, processing, analysis, and communication of information embedded in signals and datasets. He serves as a technical committee program member, track chair, session chair and reviewer of many international conferences and journals. He is a TPC co-chair of the 2016 International Conference on Advanced Technologies for Communications (http: //atc-conf.org/), the 2018 National Conference on Electronics, Communications and Information Technology (http: //rev-conf.org), the 2019 International Conference on Research in Intelligent and Computing in Engineering (http: //www.riceconference.in), and the 2019 International Conference on Advanced Technologies for Communications (http: //atc-conf.org/).
作者簡介(中文翻譯)
Shivani Agarwal是印度加濟阿巴德KIET集團機構KIET管理學院的助理教授。她在印度理工學院（IIT，魯爾基）獲得管理學博士學位。在擔任目前職位之前，她曾在印度加濟阿巴德的科技與科學學院、HRIT集團機構、英國IIT魯爾基及莫迪納加爾的管理發展中心工作。她曾參加多個短期課程，於印度理工學院魯爾基、印度IIT德里完成，並獲得NPTEL的研究寫作和人力資源管理證書。她已發表或共同發表超過10篇研究文章，這些文章刊登於期刊、書籍和會議論文集中。她教授研究生及碩士生的管理課程。她於2015年在印度IIT魯爾基獲得組織行為（心理學）博士學位，於2009年在印度新德里的古魯戈賓德辛格大學獲得MBA學位，並於2007年在印度梅魯特的查烏達里查蘭辛格大學獲得科學學士學位。她是資訊科技、管理與運營研究實踐系列的編輯，CRC Press，Taylor & Francis Group，美國。她也是IGI-Global的客座編輯。可以通過電子郵件聯繫她：jindal.shivani24@gmail.com。
Sandhya Makkar擔任印度德里的拉爾·巴哈杜爾·沙斯特里管理學院運營與資訊系統系的高級助理教授。她在管理科學、供應鏈優化、機器學習和大數據方面擁有超過13年的學術和研究經驗。她在學術生涯中始終保持一級成績。她在本科（數學）和研究生（運營研究）期間獲得大學排名。她在德里大學（DU，德里）完成供應鏈優化領域的博士學位，並擁有多篇研究論文和文章。她積極參與供應鏈、優化、人工智慧及其他相關領域的研究。她是拉爾·巴哈杜爾·沙斯特里管理學院物流與供應鏈計劃（L&SCM）的區域召集人。她已發表或共同發表多篇研究文章，這些文章刊登於國際期刊、書籍和會議論文集中。目前，她正在編輯幾本有關管理和人工智慧的書籍。她還被任命為系列《資訊科技、管理與運營研究實踐》的書籍系列編輯，CRC Press，以及其他系列《工業4.0的大數據：挑戰與應用》，CRC Press，Taylor and Francis Group，美國。Sandhya博士還為各種會議和期刊審稿。她也是美國科學與技術協會（AASCIT）編輯團隊的成員。她還在多個國際會議上展示了她的研究成果。
Duc-Tan Tran是Phenikaa大學電氣與電子工程學院（FEEE）的副教授及副院長。從2016年8月到2019年5月，他擔任越南國立大學工程與技術大學電子與電信學院的副教授及副院長。他已發表超過150篇研究論文。他的出版物在第九屆國際多媒體與普及工程會議（MUE-15）和國際綠色與人類資訊技術會議（ICGHIT-2015）中獲得“最佳論文獎”。他於2008年獲得越南國立大學的優秀青年研究者獎，並在2008年“越南人才”比賽中獲得第三名。他的主要研究興趣包括信號和數據集中的信息表示、處理、分析和通信。他擔任多個國際會議和期刊的技術委員會成員、專題主席、會議主席和審稿人。他是2016年國際通信先進技術會議（http://atc-conf.org/）、2018年電子、通信與資訊技術國家會議（http://rev-conf.org）、2019年智能與計算工程研究國際會議（http://www.riceconference.in）及2019年國際通信先進技術會議（http://atc-conf.org/）的TPC共同主席。
