Ayotunde Alaba Fadele

Dr. Ayotunde Alaba Fadele

Department of Computer Science, Federal College of Education, Zaria

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2022 in Gazi University Journal of Science
Verified
Journal Article
Closed access
PDF file
EDEmmanuel Gbenga Dada
Emmanuel Gbenga Dada
SJStephen Bassi Joseph
Stephen Bassi Joseph
DODavid Opeoluwa
David Opeoluwa
AFAyotunde Alaba Fadele
Ayotunde Alaba Fadele
Haruna ChiromaHaruna Chiroma
Haruna Chiroma
SAShafi'i Muhammad Abdulhamid
Shafi'i Muhammad Abdulhamid
The development of Grey Wolf Optimisation (GWO) Algorithm was motivated by the biological behaviours of swarm of wolves hunting for prey. This paper presents recent progress on Grey Wolf Optimization (GWO) algorithm, its variants and their applications, issues, and likely prospects. The review revealed that opportunities still exists for development of more robust and stable variants of GWO that will overcome the shortcomings of existing variants. This review has the potential to stimulate researchers in the area of nature-inspired algorithms to further advance the effectiveness of the GWO and its ability to solve problems. Such problems can be real-life, complicated and nonlinear optimization problems in different domain of human endeavour. Suggestions for new research directions that have the capacity to increase the performance of GWO are presented. It is expected that this paper will serve as reading material for beginners whereas experienced researchers can also use it as an article yardstick for further development of GWO algorithms.

1 September 2023 in Cloud Computing and Data Science
Verified
Journal Article
Open access
PDF file
AFAyotunde Alaba Fadele
Ayotunde Alaba Fadele
HSHakeem Adewale Sulaimon
Hakeem Adewale Sulaimon
MMMadu Ifeyinwa Marisa
Madu Ifeyinwa Marisa
ONOwamoyo Najeem
Owamoyo Najeem
There has been a rise in the demand for blockchain-based smart contract development platforms and language implementations. On the other hand, smart contracts and blockchain applications are generated using non-standard software life cycles, which means that, for example, distributed applications are rarely updated, or bugs are fully addressed by releasing a newer version, leading to security flaws and challenges for users to adopt the technology. Smart contracts have gained significant attention due to their potential to automate and secure various transactions in diverse domains. However, the increasing adoption of smart contracts has also raised concerns about security vulnerabilities and potential risks. In this paper, an overview of smart contracts was discussed in detail. It further distinguished and compared smart contracts security with conventional security regarding security, privacy, communication channel, etc. Different platforms for smart contracts, such as Bitcoin, Ethereum, Counterparty, Stellar, Monax, and Lisk, are also discussed in this paper. Some proposed techniques are used in different areas for handling security threats in smart contracts. In addition, a taxonomy of the smart contracts security application was proposed, which attempts to solve some of the flaws and inadequacies in smart contracts. The study also provides a comprehensive smart contracts security scenario with different techniques. Lastly, the possible attacks posed by threats and vulnerabilities of the smart contracts are provided. The security threats and vulnerabilities addressed in this study are unique to smart contracts.

9 March 2024
Verified
Book Chapter
Closed access
PDF file
AFAyotunde Alaba Fadele
Ayotunde Alaba Fadele
USUsman Sani
Usman Sani
EDEmmanuel Gbenga Dada
Emmanuel Gbenga Dada
BMBaydaa Hashim Mohammed
Baydaa Hashim Mohammed

9 March 2024
Verified
Book Chapter
Closed access
PDF file
AFAyotunde Alaba Fadele
Ayotunde Alaba Fadele
AOAdegbemile Oluwadare
Adegbemile Oluwadare
USUsman Sani
Usman Sani
AOAbudu Abimbola Oriyomi
Abudu Abimbola Oriyomi
ALAdejo Omoka Lucy
Adejo Omoka Lucy
ONOwamoyo Najeem
Owamoyo Najeem

9 March 2024
Verified
Book Chapter
Closed access
PDF file
AFAyotunde Alaba Fadele
Ayotunde Alaba Fadele
AJAbayomi Jegede
Abayomi Jegede
USUsman Sani
Usman Sani
EDEmmanuel Gbenga Dada
Emmanuel Gbenga Dada

29 November 2025 in Future Internet
Verified
Journal Article
Open access
PDF file
AFAyotunde Alaba Fadele
Ayotunde Alaba Fadele
Alvaro RochaAlvaro Rocha
Alvaro Rocha
HSHakeem Adewale Sulaimon
Hakeem Adewale Sulaimon
ONOwamoyo Najeem
Owamoyo Najeem
The Internet of Things (IoT) has influenced the healthcare industry by enabling real-time monitoring, data-driven decision-making, and automation of medical activities. IoT in healthcare comprises a network of interconnected medical devices, sensors, and software systems that gather, analyse, and transmit patient data, enhancing the efficiency, accuracy, and accessibility of healthcare services. Despite its benefits, the deployment and impact of IoT in healthcare vary between countries due to differences in healthcare infrastructure, regulatory frameworks, and technical advancements. This review highlights how IoT technologies underpin the efficiency of EHR and HIE systems by enabling continuous data flow, interoperability, and real-time patient care. It also addresses the problems involved with IoT adoption, including data privacy concerns, interoperability issues, high implementation costs, and cybersecurity dangers. Additionally, the paper examines future trends in IoT healthcare, including 5G integration, AI-enhanced healthcare analytics, blockchain-based security solutions, and the creation of energy-efficient IoT medical equipment. Through an analysis of worldwide trends and obstacles, this research offers suggestions for policies, methods, and best practices to close the digital healthcare gap and make sure that healthcare solutions powered by the IoT are available, safe, and effective everywhere.