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商品描述
Explore the transformative potential of the Internet of Things (IoT) within the unique context of Africa. This comprehensive work delves into the challenges, opportunities, and future trends of IoT, with a particular focus on Nigeria. Readers will discover a novel security framework and defense mechanisms tailored to address the specific needs and vulnerabilities of IoT systems in the African setting. Unlike traditional texts, this book provides a detailed case study approach, illustrating real-world applications and implications of IoT in Africa. It covers a wide range of topics, including the integration of IoT in agriculture, healthcare, and urban development, and highlights both technological advancements and socio-economic impacts.
Intended for researchers, practitioners, policymakers, and students, this book offers valuable insights and practical solutions. It serves as an essential resource for anyone looking to understand the dynamic landscape of IoT in Africa and leverage its potential for sustainable development. Key uses of this book include guiding the implementation of IoT projects in developing regions, informing policy formulation, and fostering innovation in IoT security. By addressing the unique challenges faced in Africa, this work stands out as a pivotal reference for advancing IoT technology in similar environments globally.
商品描述(中文翻譯)
探索物聯網（IoT）在非洲獨特背景下的轉型潛力。本書深入探討IoT的挑戰、機會和未來趨勢，特別聚焦於尼日利亞。讀者將發現一個新穎的安全框架和防禦機制，旨在解決非洲環境中IoT系統的特定需求和脆弱性。與傳統文本不同，本書採用詳細的案例研究方法，說明IoT在非洲的實際應用和影響。內容涵蓋廣泛主題，包括IoT在農業、醫療保健和城市發展中的整合，並突顯技術進步和社會經濟影響。
本書旨在為研究人員、實務工作者、政策制定者和學生提供有價值的見解和實用解決方案。它是任何希望了解非洲IoT動態格局並利用其潛力以促進可持續發展的人的重要資源。本書的主要用途包括指導發展中國家IoT項目的實施、提供政策制定的資訊，以及促進IoT安全的創新。通過解決非洲面臨的獨特挑戰，本書成為推進全球類似環境中IoT技術的重要參考資料。
作者簡介
Dr. Fadele Ayotunde Alaba is a distinguished academic and researcher with extensive experience in the field of Computer Science. Currently, he serves as a Full-Time Lecturer in the Department of Computer Science at the Federal College of Education, Zaria, Nigeria, a position he has held since 2010. His academic journey includes significant roles such as Research Assistant at the University of Malaya from 2017 to 2019 and Lecturer at the Federal Polytechnic Bauchi, Nigeria.
Dr. Alaba holds multiple advanced degrees in computer science, showcasing his dedication to continuous learning and expert development. He earned his second Ph.D. in Computer Science, specializing in Blockchain, from the International University of Bamenda (2020-2023) and his first Ph.D. in Computer Science from the University of Malaya (2016-2019). Additionally, he has a Master of Computer Science from Ahmadu Bello University, Zaria (2011-2014), and a Post Graduate Diploma in Education (PGDE) from Usman Danfodio University, Sokoto (2011-2012). He began his academic pursuit with a Bachelor of Computer Science (First Class Honours) from Nasarawa State University, Keffi (2004-2008).
Dr. Alaba's research interests are diverse and cutting-edge, including Big Data, Cloud Computing, the Internet of Things (IoT), Network Security, Blockchain, and Smart Contracts Security. His technical expertise encompasses working with Hadoop MapReduce, Contiki, and Cooja IoT Simulators, as well as data mining, machine learning, and statistical analysis software such as R, SPSS, SAS, and Weka.
He has contributed significantly to the academic community through his research publications in high-impact journals, with over 2000 citations. Notable among his works is the "Adaptive Stochastic Conjugate Gradient Optimization for Backpropagation Neural Networks," published in IEEE Access (2024) and various book chapters in Springer Nature Switzerland. His publications address crucial topics like AIoT-enabled smart grids, sustainable transportation through IoT, and smart contracts security.
Dr. Alaba has supervised numerous master's theses on subjects ranging from machine learning algorithms for intrusion detection in smart wearable devices to the impact of financial planning on the profitability of small-scale firms. He is also a frequent speaker at national and international conferences, sharing his insights on research and publication practices.
In recognition of his contributions, Dr. Alaba has received several awards, including the 2019 JNCA Best Survey Paper Award and the Best Presenter at the Annual Faculty of Computer Science and Information Technology Postgraduate Symposium in Malaysia (2017). He was also the Best Graduating Student from the Department of Mathematical Sciences, Computer Science Unit, Nasarawa State University, Keffi, in 2007/2008.
Dr. Alaba is serving as a consultant on the Editorial Board of Standardization at the TeTFund Center of Excellence for Technology Enhanced Learning since 2023. His commitment to academic excellence and innovative research continues to make significant impacts in the fields of computer science and technology.
作者簡介(中文翻譯)
Dr. Fadele Ayotunde Alaba 是一位傑出的學者和研究者，在計算機科學領域擁有豐富的經驗。目前，他擔任尼日利亞扎里亞聯邦教育學院計算機科學系的全職講師，自2010年以來一直擔任此職位。他的學術旅程包括在2017年至2019年間擔任馬來亞大學的研究助理，以及在尼日利亞包奇聯邦理工學院擔任講師的重要角色。
Dr. Alaba 擁有多個計算機科學的高級學位，展現了他對持續學習和專業發展的承諾。他在國際巴門達大學獲得第二個計算機科學博士學位，專攻區塊鏈（2020-2023），並在馬來亞大學獲得第一個計算機科學博士學位（2016-2019）。此外，他還擁有扎里亞阿哈馬杜貝洛大學的計算機科學碩士學位（2011-2014），以及索科托烏斯曼丹福迪奧大學的教育研究生文憑（PGDE）（2011-2012）。他以優異的成績從凱菲納薩拉瓦州立大學獲得計算機科學學士學位（2004-2008），開始了他的學術追求。
Dr. Alaba 的研究興趣多樣且前沿，包括大數據、雲計算、物聯網（IoT）、網絡安全、區塊鏈和智能合約安全。他的技術專長涵蓋使用 Hadoop MapReduce、Contiki 和 Cooja IoT 模擬器，以及數據挖掘、機器學習和統計分析軟體，如 R、SPSS、SAS 和 Weka。
他通過在高影響力期刊上發表的研究論文，對學術界做出了重要貢獻，引用次數超過2000次。他的著作中，值得注意的是《自適應隨機共軛梯度優化用於反向傳播神經網絡》，該文發表於 IEEE Access（2024），以及在施普林格自然瑞士的多個書籍章節。他的出版物涉及關鍵主題，如 AIoT 驅動的智能電網、通過物聯網實現可持續交通和智能合約安全。
Dr. Alaba 指導了多篇碩士論文，主題涵蓋從智能可穿戴設備的入侵檢測機器學習算法到財務規劃對小型企業盈利能力的影響。他也是國內外會議的常客演講者，分享他在研究和出版實踐方面的見解。
為了表彰他的貢獻，Dr. Alaba 獲得了多項獎項，包括2019年 JNCA 最佳調查論文獎和2017年馬來西亞計算機科學與信息技術學院研究生研討會的最佳演講者。他還是2007/2008學年凱菲納薩拉瓦州立大學數學科學系計算機科學單位的最佳畢業生。
自2023年以來，Dr. Alaba 擔任 TeTFund 技術增強學習卓越中心標準化編輯委員會的顧問。他對學術卓越和創新研究的承諾，繼續在計算機科學和技術領域產生重大影響。
