Adamu Sani Yahaya

Adamu Sani Yahaya
Bayero University, Kano · Faculty of Computer Science and Information Technology

Doctor of Philosophy

About

29
Publications
7,031
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
148
Citations

Publications

Publications (29)
Article
In the study, we propose a double blockchain based vehicular system for optimizing data storage and securing communication in Internet of Vehicles (IoV) networks. We propose an incentive mechanism and a reputation system to reduce the selfish and distrustful behavior of IoV nodes. Moreover, we propose an encryption technique to protect the proposed...
Article
Full-text available
In this study, a secure and coordinated blockchain based energy trading system for Electric Vehicles (EVs) is presented. The major goals of this study are to provide secure and efficient energy trading between EVs and Charging Stations (CSs), and to ensure efficient coordination between EVs. In this study, a consortium blockchain based energy tradi...
Article
Full-text available
Electricity theft is one of the challenging problems in smart grids. The power utilities around the globe face huge economic loss due to ET. The traditional electricity theft detection (ETD) models confront several challenges, such as highly imbalance distribution of electricity consumption data, curse of dimensionality and inevitable effects of no...
Article
Full-text available
Electricity theft (ET) is an utmost problem for power utilities because it threatens public safety, disturbs the normal working of grid infrastructure and increases revenue losses. In the literature, many machine learning (ML), deep learning (DL) and statistical based models are introduced to detect ET. However, these models do not give optimal res...
Article
A Smart Community (SC) is an essential part of the Internet of Energy (IoE), which helps to integrate Electric Vehicles (EVs) and distributed renewable energy sources in a smart grid. As a result of the potential privacy and security challenges in the distributed energy system, it is becoming a great problem to optimally schedule EVs' charging with...
Article
Full-text available
A Smart Community (SC) is an essential part of the Internet of Energy (IoE), which helps to integrate Electric Vehicles (EVs) and distributed renewable energy sources in a smart grid. As a result of the potential privacy and security challenges in the distributed energy system, it is becoming a great problem to optimally schedule EVs' charging with...
Article
This paper proposes an energy trading model based on blockchain to manage and supervise the trading process. In the model, proof-of-energy reputation generation and proofof-energy reputation consumption consensus mechanisms are proposed to solve the high computational cost and huge monetary investment issues created by the existing consensus mechan...
Article
Full-text available
—Internet of medical things (IoMT) has made it possible to collect applications and medical devices to improve healthcare information technology. Since the advent of the pandemic of coronavirus (COVID-19) in 2019, public health information has become more sensitive than ever. Moreover, different news items incorporated have resulted in differing pu...
Article
Electricity theft is considered one of the most significant reasons of the non technical losses (NTL). It negatively influences the utilities in terms of the power supply quality, grid’s safety, and economic loss. Therefore, it is necessary to effectively deal with the electricity theft problem. For detecting electricity theft in smart grids (SGs),...
Article
With the increase in local energy generation from Renewable Energy Sources (RESs), the concept of decentralized P2P Local Energy Market (LEM) is becoming popular. In this chapter, a blockchain based LEM is investigated where consumers and prosumers in a small community trade energy without the need for a third party. In the proposed model, a Home E...
Article
The rapid deployment of Electric Vehicles (EVs), and usage of renewable energy in day-today activities of energy consumers have contributed towards the development of a greener smart community. However, load balancing problems, security threats, privacy leakages, and lack of incentive mechanisms remain unresolved. Many approaches have been used in...
Article
Local energy trading has attracted the attention of many researchers as a result of its promising benefits. These benefits include minimizing gas emission, reducing power shortage , and establishing a competitive energy market. However, the energy trading between several prosumers causes trust, security, and privacy challenges in energy systems. On...
Article
Full-text available
Local energy trading has attracted the attention of many researchers as a result of its promising benefits. These benefits include minimizing gas emission, reducing power shortage, and establishing a competitive energy market. However, the energy trading between several prosumers causes trust, security, and privacy challenges in energy systems. On...
Article
Full-text available
This paper presents a hybrid model, named as hybrid deep neural network, which combines convolutional neural network, particle swarm optimization, and gated recurrent unit, termed as convolutional neural network-particle swarm optimization-gated recurrent unit model. The major aims of the model are to perform accurate electricity theft detection an...
Presentation
Full-text available
Blockchain based Privacy aware Energy Trading in Electric Vehicles and Smart Homes (PhD Thesis Presentation)
Thesis
Full-text available
The rapid deployment of Electric Vehicles (EVs) and usage of renewable energy in day-to-day activities of energy consumers have contributed toward the development of a greener smart community. However, load balancing problems, security threats, privacy leakages, and lack of incentive mechanisms remain unresolved in energy systems. Many approaches h...
Research Proposal
Full-text available
The rapid deployment of Electric Vehicles (EVs) and usage of renewable energy in day-to-day activities of energy consumers have contributed toward the development of a greener smart community. However, load balancing problems, security threats, privacy leakages, and lack of incentive mechanisms remain unresolved in energy systems. Many approaches h...
Presentation
Full-text available
Blockchain based Privacy aware Energy Trading in Electric Vehicles and Smart Homes (PhD Synopsis Presentation)
Article
Full-text available
The rapid deployment of Electric Vehicles (EVs) and the integration of renewable energy sources have ameliorated the existing power systems and contributed to the development of greener smart communities. However, load balancing problems, security threats, privacy leakage issues, etc., remain unresolved. Many blockchain-based approaches have been u...
Conference Paper
Water pricing and freshwater scarcity is an emerging global issue, a topic of debate among researchers, households and water utility managers. This is due to the fact that, the process can provide early warning signs as well as assisting water utility managers to make proper decisions on control and management of the scarce water resources through...
Article
Full-text available
With the increase in local energy generation from Renewable Energy Sources (RESs), the concept of decentralized peer-to-peer Local Energy Market (LEM) is becoming popular. In this paper, a blockchain-based LEM is investigated, where consumers and prosumers in a small community trade energy without the need for a third party. In the proposed model,...
Article
Full-text available
With the increase in local energy generation from Renewable Energy Sources (RESs), the concept of decentralized peer-to-peer Local Energy Market (LEM) is becoming popular. In this paper, a blockchain-based LEM is investigated, where consumers and prosumers in a small community trade energy without the need for a third party. In the proposed model,...
Article
Full-text available
The flipped classroom is considered an instructional strategy and a type of blended learning instruction that focused on active learning and student engagement. Over the years, flipped classroom studies have focused more on the advantages and challenges of flipped instruction and its effectiveness, but little is known about the state of self-regula...
Conference Paper
Full-text available
In this paper, we proposed a framework for accurate load forecasting which consists of two stage processes; feature engineering and classification. Feature engineering consists of feature selection and extraction. Relevant features are selected by combining Decision Tree (DT) and Recursive Feature Elimination (RFE) techniques. Moreover, Linear Disc...
Article
Full-text available
The idea of using mobile learning has become common in our modern life. From the three shift of technology-aided that learning have experienced, mobile learning has been considered to be the feature of learning that will integrate other form of education process. It provides efficiency, learning at point of interest, available at any time as major...

Network

Cited By