Security and Privacy Issues for IoT and WSN-based Real-time Applications
暫譯: 物聯網與無線感測網路即時應用的安全與隱私問題
Tolani, Manoj, Balodi, Arun, Bajpai, Ambar
相關主題
商品描述
This book explores the security and privacy challenges associated with real-time applications of the Internet of Things (IoT) and wireless sensor networks (WSN) technologies. It provides detailed insights into the unique security and privacy concerns, such as malicious attacks, data breaches, insider threats, and privacy breaches, that arise in the context of real-time applications, like in smart homes, smart cities, industrial automation, healthcare, and other time-sensitive domains to offer practical solutions and strategies to mitigate these risks.
- Covers various aspects of security and privacy, including authentication, access control, data integrity, confidentiality, availability, threat detection and mitigation, privacy-preserving techniques
- Investigates the possibilities of cross-layer approaches to address the specific requirements of real-time applications and develop innovative solutions
- Gaining insights into fundamental limits through information-theoretic research, new protocol designs are developed to access the medium in an energy-efficient manner to improve the performance and reliability of WSN and IoT networks for real-time applications
- Discusses the sustainable requirements of emerging real-time applications, such as low energy consumption and high data rates
- Offers an interdisciplinary approach that encompasses areas of communication, networking, and information theory to guide real-life deployment of IoT/ WSN-based monitoring systems
It is a valuable reference for readers who want to gain a deeper understanding of the challenges and solutions related to the security and privacy of IoT and WSN in the context of real-time applications.
商品描述(中文翻譯)
本書探討與物聯網 (IoT) 和無線感測器網路 (WSN) 技術的即時應用相關的安全性和隱私挑戰。它提供了對於獨特的安全性和隱私問題的詳細見解，例如在智慧家庭、智慧城市、工業自動化、醫療保健及其他時間敏感領域中出現的惡意攻擊、數據洩露、內部威脅和隱私侵犯，並提供實用的解決方案和策略以減輕這些風險。
- 涵蓋安全性和隱私的各個方面，包括身份驗證、存取控制、數據完整性、保密性、可用性、威脅檢測與緩解、隱私保護技術
- 探討跨層方法的可能性，以滿足即時應用的特定需求並開發創新的解決方案
- 通過信息理論研究獲得對基本限制的見解，開發新的協議設計以以節能的方式訪問媒介，從而提高 WSN 和 IoT 網路在即時應用中的性能和可靠性
- 討論新興即時應用的可持續需求，例如低能耗和高數據傳輸速率
- 提供一種跨學科的方法，涵蓋通信、網路和信息理論的領域，以指導基於 IoT/WSN 的監控系統的實際部署
這是一本對於希望深入了解與 IoT 和 WSN 在即時應用中相關的安全性和隱私挑戰及解決方案的讀者來說，具有重要參考價值的書籍。
作者簡介
Manoj Tolani earned a B.Tech from IIMT Engineering College, Meerut, India, in 2010, an M.Tech from Madan Mohan Malviya University of Technology, Gorakhpur, India, in 2012 from the Department of Electronics and Communication Engineering. He earned his Ph.D. from the Department of Electronics and Communication Engineering, Indian Institute of Information Technology Allahabad, India. He was an Assistant Professor at PSIT College of Engineering, Kanpur, from 2012 to 2015. He was engaged as a teaching cum research associate (TRA) in the Department of ECE, IIIT- Allahabad, in 2020. Later he was at the Atria Institute of Technology, Bangalore, as Assistant Professor (Research) from 2021 to 2023. Currently, he is an Assistant Professor at Manipal Institute of Technology, Manipal Academy of Higher Educations, Manipal Campus. His research interests include wireless sensor network, Internet of Things, and photonics. He has published 33 journal and conference papers (23 Science Citation Index (SCI) journals, two international conferences).
Arun Balodi is a Senior Member IEEE, Fellow IETE, Life Member ISTE is currently Professor and Chairman at the Department of Electronics and Communication Engineering, Dayananda Sagar University in Bangalore, India. Dr. Arun completed his Ph.D. from the Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India, 2018, M.Tech. in Digital Signal Processing, from Govind Ballabh Pant Engineering College, Pauri, India, 2010, and B.Tech. in Electronics and Communication Engineering from the Uttar Pradesh Technical University, Lucknow, India, 2005. He was awarded the Gold Medal in M. Tech and Academic Excellence Award in 2010 and 2011. His research interests span biomedical signal and image processing and artificial intelligence. Dr. Arun has more than 15 years of teaching and research experience in various institutions in India. His research areas are Digital signal and image processing, medical image analysis, machine learning, and pattern recognition. He has published over 42 papers in peer- reviewed journals, international conferences, and holds three patents. He is an active researcher and reviewer for various indexed journals and conferences and has given various technical talks. He has actively participated in more than 34 Faculty Development Programs (FDPs) and more than 100 webinars and conducted workshops in the domain of signal and image processing. He has delivered expert talks in more than 21 short term programs (STPs), conferences, and webinars. Dr. Balodi received a certificate of appreciation and research incentive for his research contribution in publishing journal papers, patents, book chapters, and international conference papers in the years 2020 and 2021 from Atria Institute of Technology, Bengaluru. He also received the research excellence award and incentive for research contribution for publishing journal papers, patents, book chapters, and international conference and editing one international book in the academic year 2022-23.
Dr. Balodi received a certificate of appreciation and research incentive for his research contribution in publishing journal papers, patents, book chapters, and international conference papers in the years 2020 and 2021 from Atria Institute of Technology, Bengaluru. He also received the research excellence award and incentive for research contribution for publishing journal papers, patents, book chapters, and international conference and editing one international book in the academic year 2022/23.
Ambar Bajpai is an associate professor at GITAM (deemed- to- be) University, Bangalore, India. His alma maters are Chulalongkorn University, Thailand and Birla Institute of Technology and Science, India. Dr. Ambar has more than 16 years of teaching and research experience in various institutions in India and abroad. Dr. Bajpai received various scholarships, mainly prestigious graduate school scholarships, 90th- year research scholarship, GATE, and overseas academic presentation scholarship during his Ph.D. and M.Eng. His areas of interest are iterative channel coding in 5G, Metaverse, and beyond and visible light communication. He has published more than 51 papers in peer- reviewed journals, international conferences, and book chapters and has delivered invited talks in India and abroad related to the broad domain of wireless communication. He has been volunteering in IEEE Bangalore section as an ExeCom Member, Founder Secretary in the Information Theory Society Chapter, treasurer, and ExeCom roles of various technical society chapters including IEEE SIGHT Bangalore Section.
Vishal Jain is a Professor in the Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, India. Before that, he worked as an Associate Professor at Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 18 years of experience in academics. He has earned degrees: Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP, and CCNA. He has more than 2200 research citations with Google Scholar (h- index score 24 and i- 10 index 55) and has authored more than 150 research papers in professional journals and conferences. He has authored and edited more than 60 books (most of them are indexed at the Scopus) with various reputed publishers, including Elsevier, Springer, IET, Apple Academic Press, CRC, Taylor & Francis Group, Scrivener, Wiley, Emerald, NOVA Science, River Publishers, IGI- Global and Bentham Science. He has more than 200 Scopus publications. His research areas include machine learning, information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, sensor networks and network security. He received a Young Active Member Award for the year 2012・ 13 from the Computer Society of India, and Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.
Piya Kovintavewat earned a B.Eng. degree (summa cum laude) from Thammasat University, Thailand, in 1994, an M.Sc. degree from the Chalmers University of Technology, Sweden, in 1998, and a Ph.D. degree from the Georgia Institute of Technology, USA, in 2004, all in electrical engineering. He is currently working with Nakhon Pathom Rajabhat University (NPRU). Prior to that, he worked as an engineer with Thai Telephone and Telecommunication Company, Thailand, from 1994 to 1997, and a research assistant with the National Electronics and Computer Technology Center, Thailand, in 1999. He also had work experiences with Seagate Technology, Pennsylvania, USA, in the summers of 2001, 2002, and 2004. His research interests include coding and signal processing as applied to digital data storage systems.
作者簡介(中文翻譯)
Manoj Tolani 於2010年獲得印度梅魯特IIMT工程學院的B.Tech學位，2012年獲得印度戈拉克布爾Madan Mohan Malviya科技大學電子與通信工程系的M.Tech學位。他在印度阿拉哈巴德信息技術學院電子與通信工程系獲得博士學位。2012年至2015年，他擔任坎普爾PSIT工程學院的助理教授。2020年，他在IIIT-阿拉哈巴德的電子與通信工程系擔任教學兼研究助理（TRA）。隨後，他於2021年至2023年在班加羅爾的Atria科技學院擔任助理教授（研究）。目前，他是馬尼帕爾高等教育學院馬尼帕爾校區的助理教授。他的研究興趣包括無線感測器網路、物聯網和光子學。他已發表33篇期刊和會議論文（23篇科學引文索引（SCI）期刊，兩個國際會議）。
Arun Balodi 是IEEE的高級會員、IETE的院士、ISTE的終身會員，目前擔任印度班加羅爾Dayananda Sagar大學電子與通信工程系的教授和系主任。Arun博士於2018年在印度魯爾基的印度理工學院電氣工程系獲得博士學位，2010年在印度Pauri的Govind Ballabh Pant工程學院獲得數位信號處理的M.Tech學位，2005年在印度勒克瑙的北方邦技術大學獲得電子與通信工程的B.Tech學位。他在2010年和2011年獲得M.Tech金獎和學術卓越獎。他的研究興趣涵蓋生物醫學信號和影像處理以及人工智慧。Arun博士在印度的各個機構擁有超過15年的教學和研究經驗。他的研究領域包括數位信號和影像處理、醫學影像分析、機器學習和模式識別。他在同行評審的期刊、國際會議上發表了超過42篇論文，並擁有三項專利。他是各種索引期刊和會議的活躍研究者和審稿人，並進行了多次技術演講。他積極參加了超過34個教師發展計畫（FDP）和超過100個網路研討會，並在信號和影像處理領域舉辦了工作坊。他在超過21個短期計畫（STP）、會議和網路研討會中發表了專家演講。Balodi博士於2020年和2021年獲得Atria科技學院頒發的感謝證書和研究獎勵，以表彰他在發表期刊論文、專利、書籍章節和國際會議論文方面的研究貢獻。他還在2022-23學年獲得研究卓越獎和研究貢獻獎勵，以表彰他在發表期刊論文、專利、書籍章節和國際會議以及編輯一本國際書籍方面的貢獻。
Dr. Balodi於2020年和2021年獲得Atria科技學院頒發的感謝證書和研究獎勵，以表彰他在發表期刊論文、專利、書籍章節和國際會議論文方面的研究貢獻。他還在2022/23學年獲得研究卓越獎和研究貢獻獎勵，以表彰他在發表期刊論文、專利、書籍章節和國際會議以及編輯一本國際書籍方面的貢獻。
Ambar Bajpai 是印度班加羅爾GITAM（預定）大學的副教授。他的母校包括泰國朱拉隆功大學和印度比爾拉科技與科學學院。Ambar博士在印度及國外的各個機構擁有超過16年的教學和研究經驗。Bajpai博士在攻讀博士和碩士學位期間獲得了各種獎學金，主要是著名的研究生獎學金、第90屆研究獎學金、GATE和海外學術報告獎學金。他的研究興趣包括5G中的迭代通道編碼、元宇宙及其以外的領域以及可見光通信。他在同行評審的期刊、國際會議和書籍章節中發表了超過51篇論文，並在印度及國外就無線通信的廣泛領域發表了邀請演講。他在IEEE班加羅爾分會擔任執行委員會成員、信息理論學會章程創始秘書、財務主管以及各種技術社會章程的執行委員會角色。
Vishal Jain是印度大諾伊達Sharda大學工程與技術學院計算機科學與工程系的教授。在此之前，他曾擔任新德里Bharati Vidyapeeth計算機應用與管理學院（BVICAM）的副教授。他在學術界擁有超過18年的經驗。他獲得的學位包括：博士（CSE）、碩士（CSE）、MBA（人力資源）、MCA、MCP和CCNA。他在Google Scholar上擁有超過2200次的研究引用（h指數24，i-10指數55），並在專業期刊和會議上發表了超過150篇研究論文。他編著和編輯了超過60本書籍（大多數在Scopus上索引），與包括Elsevier、Springer、IET、Apple Academic Press、CRC、Taylor & Francis Group、Scrivener、Wiley、Emerald、NOVA Science、River Publishers、IGI-Global和Bentham Science等多家知名出版商合作。他擁有超過200篇Scopus出版物。他的研究領域包括機器學習、信息檢索、語義網、語義工程、數據挖掘、臨時網路、感測器網路和網路安全。他於2012-13年獲得印度計算機學會的青年活躍會員獎，並於2017年獲得最佳教師獎，2019年獲得最佳研究者獎，均來自BVICAM，新德里。
Piya Kovintavewat於1994年獲得泰國法政大學的B.Eng.學位（優等生），1998年獲得瑞典查爾默斯科技大學的M.Sc.學位，2004年獲得美國喬治亞理工學院的博士學位，均為電機工程專業。他目前在Nakhon Pathom Rajabhat大學（NPRU）工作。在此之前，他於1994年至1997年在泰國泰國電話與電信公司擔任工程師，並於1999年在泰國國家電子與計算機技術中心擔任研究助理。他還在2001年、2002年和2004年的夏季在美國賓夕法尼亞州的Seagate Technology工作。他的研究興趣包括應用於數位數據儲存系統的編碼和信號處理。
