Cyber Security Threats and Challenges Facing Human Life

《面對人類生活的網路安全威脅與挑戰》提供了對網路安全領域所面臨的問題、威脅和挑戰的全面觀點。本書詳細分析了有效的對策和緩解措施。金融部門、醫療保健、數字製造和社交媒體是經常受到網路攻擊並造成巨大損害的重要領域。因此，本書特別強調對這四個重要領域的網路安全挑戰和對策的研究和分析。

主要特點：
- 討論網路安全在人類生活中的重要性
- 討論網路安全在COVID-19後世界的意義
- 強調商業和不同領域中網路安全緩解方法的問題、挑戰和應用
- 提供對數字製造和物聯網環境中網路安全威脅和挑戰影響的理解
- 提供對大數據洩露和數據安全未來趨勢的理解

本書主要針對本科生、研究生、研究人員、學者和對網路安全領域感興趣的專業人士。

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在印度孟買的NMIMS Deemed to be University獲得了工程學博士學位（網絡安全）。他是孟買SVKM's Dwarkadas J. Sanghvi College of Engineering的計算機工程系教授（該學院是孟買大學的附屬自治學院）。他曾擔任孟買大學的教學委員會成員超過五年，並且還曾擔任孟買大學的各種委員會成員。他的總教學經驗為24年。Shekokar博士是八名研究員和26名研究生的博士導師。他已經發表了四項專利，在國際和國內會議上發表了70多篇論文，並在知名期刊上發表了20多篇研究論文和12篇由Taylor & Francis和Springer出版的專書章節。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，由CRC Press, Taylor & Francis Series出版。他曾兩次獲得孟買大學的小型研究資助金用於他的研究項目。他在許多活動和會議上發表專題演講並擔任主席。

Dr. Hari Vasudevan是印度孟買的SVKM's Dwarkadas J. Sanghvi College of Engineering的校長，該學院是孟買大學的附屬自治機構。他自2009年2月以來一直擔任該學院的校長。他擁有印度理工學院孟買分校的博士學位，以及孟買大學的工程碩士學位和工業工程研究生文憑。Hari博士是來自荷蘭阿姆斯特丹BaaN Institute的S.P. Jain Institute of Management & Research的ERP顧問認證。他是孟買大學機械工程研究與認可委員會（RRC）的內部專家，也是孟買大學生產工程學科的教學委員會主席。他在教學方面擁有超過29年的經驗和2年的工業經驗，他的興趣領域包括數字製造、製造業的網絡安全和製造策略。他在國際期刊和會議上發表了132篇研究論文，以及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中的文章。他是孟買大學和NMIMS Deemed to be University在機械工程領域的認可博士導師。迄今為止，有八名學生在他的指導下獲得了博士學位。他目前在孟買大學的DJSCE研究中心指導著另外五名博士生。他擁有六項印度設計註冊和兩項專利，並從各種國家級組織獲得了許多獎項和榮譽。Hari Vasudevan博士是印度工程師學會的會士，目前是印度製造工程師學會孟買分會的主席和會士。

Dr. Surya Durbha在美國密西西比州立大學Starkville獲得了計算機工程博士學位。他是印度孟買的印度理工學院孟買分校（IIT-Bombay）資源工程研究中心（CSRE）的教授。他擁有超過20年的經驗。他獲得了許多獎項，包括在國際地理信息學會議上獲得最佳論文獎、密西西比州立大學GRI的優秀研究獎（2008年）、密西西比州立大學的州傲慢教職員獎（2010年）、印度理工學院孟買分校的卓越教學獎以及NVIDIA的創新獎。他是許多知名期刊的審稿人，包括《IEEE地球科學與遙感》、《IEEE應用地球觀測和遙感選題期刊》和《地理信息學》。