Enhancing Surveillance With Blockchain and IoT Drone Technology

The integration of blockchain and Internet of Things (IoT) drone technology revolutionizes surveillance systems by enhancing security, transparency, and data privacy. As drones become more advanced, they generate real-time data that require secure management. Blockchain technology offers a decentralized framework to store, share, and authenticate this data, reducing risks of tampering and unauthorized access. Further exploration into how combining blockchain with IoT-enabled drones can transform surveillance operations across sectors, may help pave the way for more reliable and intelligent security solutions. Enhancing Surveillance With Blockchain and IoT Drone Technology explores the integration of blockchain and IoT drone technology for security surveillance applications. It offers new insights, perspectives, and case studies spanning theoretical foundations to real-world implementations in the surveillance field. This book covers topics such as computer vision, threat detection, and transportation technology, and is a useful resource for engineers, security professionals, academicians, researchers, and scientists.

Dr. Shakir Khan is presently working as professor in Information Technology Department, college of computer and information sciences (CCIS) at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. He is listed in World’s Top 2% Scientists for 2024 executed by Stanford University and Elsevier, USA. He has 18+ years of rich national and international teaching, research and IT experience, including five years in King Saud University, Riyadh, Saudi Arabia. He served as a chair/member of multiple committees like ABET, NCAAA, curriculum development for bachelor and master programs. He has sound research knowledge along with supervision of more than dozens of master scholars in different fields of Computer Science. He has published 100 plus publications in reputed international journals and conferences, 80 of them are indexed in web of science, and complete list of publication are available on Google Scholar. He has also published four books and three patents. He contributed in many International Journals and Conferences as Editor, Member of the Advisory board, Reviewer, Program Committee Member, Session chair and Keynote Speaker. His research interest includes Machine Learning, Data Science, AI, Cloud Computing, IoT, Bioinformatics, and E-learning. He received research excellence rewards for 2022 and 2023 by the Imam University. He has been awarded multiple research grants from Deanship of Scientific Research (DSR), Imam University, and from ministry of education, Saudi Arabia. Prof. Khan is delivering these projects timely and he is also doing collaborative research with other multiple universities. He received leadership award in the ACM Programming JAM 7.0 competition, held at Prince Sultan University by ACM Saud Arabia chapter as the team secured third position out of 40 teams from different Saudi universities. His project team showcased virtual history museum at DTEDUHACK2023 and was winner in MENA conference, a digital transformation education hackathon aimed at transforming the education sector in Saudi Arabia through innovative solutions powered by digital technologies, at Prince Sultan University.

Dr. Hadeel Alsolai is a distinguished academic, researcher, and innovation leader with a strong background in artificial intelligence, machine learning, and software engineering. She holds a Ph.D. from the University of Strathclyde, UK, and has over a decade of experience in academia and government, currently serving as the Manager of the Research, Development, and Innovation Unit at Princess Nourah Bint Abdulrahman University. Dr. Alsolai has played key roles in digital transformation initiatives, project management, and capacity building in both educational and governmental sectors. Dr. Alsolai research contributions span healthcare, smart cities, and software maintainability, reflected in over 700 citations, an h-index of 13, and numerous high-impact journal publications. Dr. Alsolai is also an experienced workshop presenter and certified in data analytics, Power BI, and technology transfer, with a passion for bridging research and real-world applications through innovation and leadership.

Dr. Arvind Panwar is a distinguished researcher and academician with over 15 years of experience in Computer Science and Engineering. He holds a Ph.D. from Guru Gobind Singh Indraprastha University, where his thesis focused on designing a secure cloud-based blockchain framework for health record management. His expertise spans blockchain technology, information security, cybersecurity, and data analytics. Dr. Panwar is actively involved in academic publishing, having authored 9 SCI/SCOPUS-indexed journal articles, 15 conference papers, and 18 book chapters. He is currently editing three significant books for esteemed publishers: Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0 for Bentham, Qubits Unveiled: Quantum Computing Solutions for Efficient Supply Logistics for Nova Publications, and Energy Efficient Internet of Things-Based Wireless Sensor Network for Wiley-Scrivener Publishing LLC. These works highlight his expertise in cutting-edge technologies and their applications in modern industry and logistics. A prolific innovator, Dr. Panwar holds 8 granted patents and 11 published patents in the domains of blockchain, AI, and IoT applications. His academic contributions include mentoring graduate students, spearheading interdisciplinary research, and engaging in global collaborations, such as his visiting professorship at South Kazakhstan Pedagogical University. Dr. Panwar’s dedication to advancing technological innovation and his extensive academic achievements make him a leading figure in bridging research and industry.

Dr. Vishal Jain currently serves as a Professor and Dean of Accreditation, Statutory Compliances & Institutional Development at the School of Engineering & Technology, Vivekananda Institute of Professional Studies - Technical Campus, New Delhi. His previous roles include Professor at Sharda University, Greater Noida, and Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. In addition to his teaching responsibilities, Dr. Jain has organized numerous conferences, faculty development programs, seminars, hackathons, and activities for both faculty and students. His research interests encompass machine learning, information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, sensor networks, and network security.