Cyber Security Threats and Challenges Facing Human Life
暫譯: 網路安全威脅與人類生活面臨的挑戰

本書旨在提供對網路安全領域所面臨的問題、威脅和挑戰的全面觀察，並詳細分析有效的對策和緩解措施。主要針對本科生、研究生、研究人員、學術界人士以及在該領域工作的專業人士。

Dr. Narendra M. Shekokar received his PhD in Engineering (Network Security) from NMIMS Deemed to be University, Mumbai, India. He is a Professor in the Dept. of Computer Engineering at SVKM's Dwarkadas J. Sanghvi College of Engineering, Mumbai (autonomous college affiliated with the University of Mumbai). He was a member of the Board of Studies at the University of Mumbai for more than five years, and he has also been a member of various committees at the University of Mumbai. His total teaching experience is 24 years. Dr. Shekokar is PhD adviser for eight research fellows and more than 26 students at the postgraduate level. He has published four patents, presented more than 70 papers at international and national conferences, and has also published more than 20 research papers in renowned journals and 12 book chapters with Taylor & Francis and with Springer. He has published one book titled "Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques" with CRC Press, Taylor & Francis Series. He has received a minor research grant twice from the University of Mumbai for his research projects. He has delivered expert talks and chaired sessions at numerous events and conferences.

Dr. Hari Vasudevan is Principal of SVKM's Dwarkadas J. Sanghvi College of Engineering, Mumbai, India, an autonomous institution affiliated to the University of Mumbai. He has been working as principal of the college since February 2009. He has a PhD from IIT Bombay and a Master of Engineering degree as well as a Postgraduate Diploma in Industrial Engineering from VJTI, University of Mumbai. Dr. Hari is a certifi ed ERP consultant from S.P. Jain Institute of Management & Research, Mumbai, under the University Synergy Programme of BaaN Institute, Amsterdam, Netherlands. He is a member of the Research & Recognition Committee (RRC) of the University of Mumbai in mechanical engineering as the internal expert of the university. He is also the chairman of the Board of Studies in Production Engineering of the University of Mumbai. He has over 29 years of experience in teaching and 2 years of experience in industry, and his areas of interest include digital manufacturing, cyber security in manufacturing and manufacturing strategy. He has published over 132 research papers in international journals and conferences, as well as in national journals and conferences. He has also published textbooks, textbook chapters, workbooks, and articles in various newsletters. He is a recognized PhD adviser at the University of Mumbai as well as at NMIMS Deemed to be University in the fi eld of mechanical engineering. Eight students have so far received their PhD degrees under his guidance. He is currently advising fi ve more PhD students under the DJSCE Research Centre of University of Mumbai. He has six Indian design registrations and two process patents to his credit and has received many awards and accolades from various national level organizations. Dr. Hari Vasudevan is a fellow of the Institution of Engineers, India and is currently president and fellow of the Indian Society of Manufacturing Engineers, Mumbai.

Dr. Surya Durbha received his PhD in Computer Engineering from Mississippi State University, Starkville. He is Professor in the Centre of Studies in Resources Engineering (CSRE), Indian Institute of Technology Bombay (IIT-Bombay). He has more than 20 years of experience. He has won a number of awards, including the award for best paper at an international conference on geoinformatics, an Outstanding Research Award (HM) (2008) from GRI, Mississippi State University, a State Pride Faculty Award (2010) from Mississippi State University, an Excellence in Teaching award from IIT Bombay, and an NVIDIA Innovation award from NVIDIA. He is a reviewer for many prestigious journals, including IEEE Geoscience and Remote Sensing , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and Geoinformatica , among others. He has advised more than six PhD and 24 M.Tech. students. He also has many research paper publications in prestigious journals and from conferences.

Dr. Antonis Michalas received his PhD in Provable Security and Privacy from Aalborg University, Denmark, and currently he is an Associate Professor in the Department of Computing Science at Tampere University of Technology, Faculty of Computing and Electrical Engineering, Tampere, Finland. Prior to this, he was an Assistant Professor in Cyber Security at the University of Westminster, London. Earlier, he conducted his postdoctoral researchat the Security Lab at the Swedish Institute of Computer Science in Stockholm, Sweden where he was actively involved in national and European research projects. Dr. Antonis has published a signifi cant number of papers in fi eld-related journals and conferences and has also participated as a speaker at various conferences and workshops. His research interests include applied cryptography, privacy-preserving protocols in widely deployed communication networks, analysis of encrypted data and privacy-preserving machine learning, forensics, cloud security and trusted computing.

Dr. Tatwadarshi P. Nagarhalli is Associate Professor in Vidyavardhini's College of Engineering and Technology, Vasai, Mumbai, India. He has two PhDs, one in Computer Engineering and the other in Sanskrit. He has more than 10 years of experience, including two years of industry experience. His areas of interest include data security, machine learning, deep learning, natural language processing, and artificial intelligence. He has served as a panel member for Syllabus Design of Machine Learning, deep learning and Artifi cial Intelligence at the University of Mumbai. He has presented and published more than 50 research papers in reputed journals (SCI and Scopus Indexed) and conferences. He has also authored many book chapters with reputed publishers. He received the award for best paper for a data security paper at an International IEEE conference. He has a patent published on data security to his credit. He has soft ware and literary copyrights to his credit as well. He is the founder and editor-in-chief of a nonprofi t international journal indexed in reputed databases. He is also an active reviewer of reputed Scopus-Indexed journals like the IEEE Access and Journal of King Saud University - Computer and Information Science . He has undertaken many workshops and training programs at the undergraduate and postgraduate levels for industry and academia.

Dr. Ramchandra Mangrulkar was a postgraduate at the National Institute of Technology, Rourkela, India, aft er he received his PhD in Computer Science and Engineering from SGB Amravati University, Amravati, India, in 2016. At present, he is Associate Professor in the Department of Computer Engineering at SVKM's Dwarkadas J. Sanghvi College of Engineering, Mumbai (autonomous college affiliated with the University of Mumbai), Maharashtra, India. Dr. Ramchandra Mangrulkar has published 51 papers and 25 book chapters with Taylor & Francis, Springer, and IGI Global in his field of interest. He has presented 54 papers at national and international conferences. He has also edited three books titled "Design of Intelligent Applications using Machine Learning and Deep Learning Techniques (2022)," "Future Trends in 5G and 6G: Challenges, Architecture, and Applications (2022)," and "Data Science Techniques and Intelligent Applications (2023)" with CRC Press, Taylor & Francis Series. He has also worked as reviewer for many international journals and has reviewed many book proposals submitted to publishers of international reputation. He has also chaired many sessions at national and international conferences. He has shown keen interest in conducting and organizing workshops on artifi cial intelligence bot in education, Network Simulator 2, innovative tools for research, and LaTeX and Overleaf. He has also received a certifi cation of appreciation from the DIG Special Crime Branch Pune and Superintendent of Police and wide publicity from the broadcast media for his project work on the subject "Face Recognition System." He is also working as an internal thesis adviser at NMIMS's MPSTE Mumbai and DY Patil's RAIT, Navi Mumbai. He has worked as an external referee for PhD thesis evaluations at SGB Amravati University and RTM Nagpur University. He is active member of the board of studies at various universities and an autonomous institute in India.

Dr. Monika Mangla received her PhD from Thapar Institute of Engineering & Technology, Patiala, Punjab, India, in 2019. Currently, she is Associate Professor in the Information Technology Department at SVKM's Dwarkadas J. Sanghvi College of Engineering, Mumbai (autonomous college affiliated with the University of Mumbai), Maharashtra, India. She has 20 years of teaching experience at the undergraduate and postgraduate levels to her credit. Her interest areas include the internet of things (IoT), cloud computing, algorithms and optimization, location modeling, and machine learning. She has guided many projects at the undergraduate and postgraduate levels. She has also been invited as an expert speaker for many workshops. She has published several research papers in journals and for reputed conferences (SCI and Scopus Indexed). She has also authored many book chapters with reputed publishers. She is the editor of several books on the topics of the internet of things, machine learning, and data analytics published by leading publishers. She has also been associated with several SCI-indexed journals like TUBITAK and IMDS as a reviewer. She has been associated with several reputed conferences as a session chair. She qualified for the UGC-NET for Computer Science in July 2018. She also has a patent and three copyrights to her credit. She is a life member of CSI and IETE.

Dr. Narendra M. Shekokar 獲得印度孟買 NMIMS 大學的工程學（網路安全）博士學位。他是 SVKM 的 Dwarkadas J. Sanghvi 工程學院計算機工程系的教授（該學院為孟買大學的自主學院）。他在孟買大學的學術委員會任職超過五年，並且曾擔任孟買大學的多個委員會成員。他的教學經驗總計 24 年。Shekokar 博士是八位研究員和超過 26 位研究生的博士生導師。他已發表四項專利，在國際和國內會議上發表超過 70 篇論文，並在知名期刊上發表超過 20 篇研究論文以及與 Taylor & Francis 和 Springer 合作的 12 篇書章。他出版了一本名為《使用機器學習和深度學習技術設計智能應用》的書籍，與 CRC Press 和 Taylor & Francis 系列合作。他曾兩次獲得孟買大學的小型研究資助，用於他的研究項目。他在多個活動和會議上發表專家演講並主持會議。

Dr. Hari Vasudevan 是印度孟買 SVKM 的 Dwarkadas J. Sanghvi 工程學院的院長，該學院為孟買大學的自主機構。他自 2009 年 2 月以來一直擔任該學院的院長。他擁有印度理工學院孟買校區的博士學位，以及孟買大學 VJTI 的工程碩士學位和工業工程研究生文憑。Hari 博士是 S.P. Jain 管理與研究所的認證 ERP 顧問，該所位於印度孟買，並參加了荷蘭阿姆斯特丹 BaaN 學院的大學協同計劃。他是孟買大學機械工程研究與認可委員會（RRC）的成員，擔任該大學的內部專家。他也是孟買大學生產工程學術委員會的主席。他擁有超過 29 年的教學經驗和 2 年的行業經驗，研究興趣包括數位製造、製造業的網路安全和製造策略。他在國際期刊和會議上發表了超過 132 篇研究論文，並在國內期刊和會議上發表了多篇論文。他還出版了教科書、教科書章節、工作手冊和各種通訊的文章。他是孟買大學和 NMIMS 大學機械工程領域的認可博士生導師。迄今為止，八名學生在他的指導下獲得博士學位。他目前在孟買大學 DJSCE 研究中心指導五名博士生。他擁有六項印度設計註冊和兩項流程專利，並獲得多個國家級組織的獎項和榮譽。Hari Vasudevan 博士是印度工程師協會的會員，並且目前是印度製造工程師協會孟買分會的會長和會員。

Dr. Surya Durbha 獲得密西西比州立大學的計算機工程博士學位。他是印度理工學院孟買校區（IIT-Bombay）資源工程研究中心（CSRE）的教授。他擁有超過 20 年的經驗。他獲得了多個獎項，包括在地理資訊國際會議上最佳論文獎、密西西比州立大學 GRI 的傑出研究獎（HM）（2008）、密西西比州立大學的州驕傲教職員獎（2010）、IIT 孟買的教學卓越獎，以及 NVIDIA 的創新獎。他是多本知名期刊的審稿人，包括《IEEE Geoscience and Remote Sensing》、《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》和《Geoinformatica》等。他指導了超過六名博士生和 24 名碩士生。他還在知名期刊和會議上發表了多篇研究論文。

Dr. Antonis Michalas 獲得丹麥奧爾堡大學的可證明安全性和隱私博士學位，目前是芬蘭坦佩雷科技大學計算科學系的副教授。他曾在倫敦的西敏寺大學擔任網路安全助理教授。在此之前，他在瑞典斯德哥爾摩的瑞典計算機科學研究所的安全實驗室進行博士後研究，積極參與國家和歐洲的研究項目。Antonis 博士在相關領域的期刊和會議上發表了大量論文，並作為演講者參加了各種會議和研討會。他的研究興趣包括應用密碼學、在廣泛部署的通信網路中的隱私保護協議、加密數據分析和隱私保護的機器學習、取證、雲安全和可信計算。

Dr. Tatwadarshi P. Nagarhalli 是印度孟買 Vidyavardhini 工程與技術學院的副教授。他擁有兩個博士學位，一個是計算機工程，另一個是梵文。他擁有超過 10 年的經驗，包括兩年的行業經驗。他的研究興趣包括數據安全、機器學習、深度學習、自然語言處理和人工智慧。他曾擔任孟買大學機器學習、深度學習和人工智慧課程大綱設計的專家小組成員。他在知名期刊（SCI 和 Scopus 索引）和會議上發表和出版了超過 50 篇研究論文。他還與知名出版商合作撰寫了多篇書章。他在國際 IEEE 會議上獲得數據安全論文的最佳論文獎。他擁有一項關於數據安全的專利，並擁有軟體和文學版權。他是一本在知名數據庫中索引的非營利國際期刊的創始人和主編。他還是多本知名 Scopus 索引期刊的活躍審稿人，如《IEEE Access》和《Journal of King Saud University - Computer and Information Science》。他在本科和研究生層面為行業和學術界舉辦了多個研討會和培訓計劃。

Dr. Ramchandra Mangrulkar 在印度 Rourkela 的國立技術學院攻讀碩士學位，並於 2016 年獲得印度 SGB Amravati 大學的計算機科學與工程博士學位。目前，他是 SVKM 的 Dwarkadas J. Sanghvi 工程學院計算機工程系的副教授（該學院為孟買大學的自主學院），位於印度馬哈拉施特拉邦。Ramchandra Mangrulkar 博士在他的研究領域發表了 51 篇論文和 25 篇與 Taylor & Francis、Springer 和 IGI Global 合作的書章。他在國內和國際會議上發表了 54 篇論文。他還編輯了三本書，分別是《使用機器學習和深度學習技術設計智能應用（2022）》、《5G 和 6G 的未來趨勢：挑戰、架構和應用（2022）》以及《數據科學技術和智能應用（2023）》，與 CRC Press 和 Taylor & Francis 系列合作。他還擔任多本國際期刊的審稿人，並審查了多個提交給國際知名出版商的書籍提案。他在國內和國際會議上主持了多個會議。他對於舉辦和組織有關教育中的人工智慧機器人、網路模擬器 2、創新研究工具以及 LaTeX 和 Overleaf 的研討會表現出濃厚的興趣。他因其在「人臉識別系統」主題上的項目工作而獲得了 DIG 特別犯罪分支浦那和警察局長的感謝證書，並受到廣播媒體的廣泛報導。他目前在 NMIMS 的 MPSTE 學院和 DY Patil 的 RAIT 學院擔任內部論文顧問。他曾擔任 SGB Amravati 大學和 RTM Nagpur 大學的博士論文評審的外部評審。他是印度多所大學和自主機構學術委員會的活躍成員。

Dr. Monika Mangla 於 2019 年獲得印度旁遮普省 Thapar 工程與技術學院的博士學位。目前，她是 SVKM 的 Dwarkadas J. Sanghvi 工程學院信息技術系的副教授（該學院為孟買大學的自主學院），位於印度馬哈拉施特拉邦。她擁有 20 年的本科和研究生教學經驗。她的研究興趣包括物聯網（IoT）、雲計算、算法和優化、位置建模以及機器學習。她指導了許多本科和研究生項目。她還被邀請擔任多個研討會的專家演講者。她在知名期刊和著名會議（SCI 和 Scopus 索引）上發表了多篇研究論文，並與知名出版商合作撰寫了多篇書章。她是多本有關物聯網、機器學習和數據分析的書籍的編輯，這些書籍由領先的出版商出版。她還與多個 SCI 索引期刊（如《TUBITAK》和《IMDS》）擔任審稿人。她曾擔任多個知名會議的會議主席。她於 2018 年 7 月通過了計算機科學的 UGC-NET 考試。她還擁有一項專利和三項版權。她是 CSI 和 IETE 的終身會員。