Internet of Things: A Case Study in Africa (eBook, PDF) - Alaba, Fadele Ayotunde
160,49 €
inkl. MwSt.
Sofort per Download lieferbar
  • Format: PDF

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…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
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.

Autorenporträt
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.