The increasing digitization of agriculture in the United States has heightened exposure to cybersecurity risks such as data breaches, unauthorized access, and operational disruptions. This research explores the integration of blockchain technology with advanced cybersecurity meas...
Open access
Research Article10.9734/ajaar/2025/v25i4606
Blockchain-based tokenization is transforming agricultural finance by enhancing efficiency, transparency, and security. This study focuses on small farmers and agribusinesses, evaluating the role of blockchain in mitigating fraud and cyber risks while improving financial accessib...
Open access
Research Article10.9734/arja/2025/v18i1657
Omobolaji Olufunmilayo Olateju, Samuel Ufom Okon, Oluwaseun Oladeji Olaniyi, Amaka Debie Samuel-Okon & Christopher Uzoma Asonze·Journal of Engineering Research and Reports·2024
The increasing integration of Artificial Intelligence (AI) systems in diverse sectors has raised concerns regarding transparency, trust, and ethical data handling. This study investigates the impact of Explainable AI (XAI) models and robust information governance standards on enh...
Open access
Research Article10.9734/jerr/2024/v26i71206
Omobolaji Olufunmilayo Olateju, Samuel Ufom Okon, Udochukwu ThankGod Ikechukwu Igwenagu, Abidemi Ayodotun Salami, Tunbosun Oyewale Oladoyinbo & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2024
Anomaly detection is critical for network security, fraud detection, and system health monitoring applications. Traditional methods like statistical approaches and distance-based techniques often struggle with high-dimensional and complex data, leading to high false positive rate...
Open access
Research Article10.9734/ajrcos/2024/v17i6472
Samuel Ufom Okon, Omobolaji Olufunmilayo Olateju, Olumide Samuel Ogungbemi, Sunday Abayomi Joseph, Anthony Obulor Olisa & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2024
The rapid integration of artificial intelligence (AI) across various sectors has significantly amplified privacy concerns, particularly with the growing reliance on cloud environments. Existing methods often fall short of effectively preventing privacy breaches due to inadequate...
Open access
Research Article10.9734/jerr/2024/v26i91269
Amaka Debie Samuel-Okon, Omobolaji Olufunmilayo Olateju, Samuel Ufom Okon, Oluwaseun Oladeji Olaniyi & Udochukwu ThankGod Ikechukwu Igwenagu·Archives of Current Research International·2024
This study investigates the criminal use and abuse of artificial intelligence (AI), exploring the effectiveness of various mitigation strategies. It employs a mixed-methods approach, combining quantitative data from a survey of 211 experts with qualitative insights from academic,...
Open access
Research Article10.9734/acri/2024/v24i5735
This study analyzed the perceived effects of insecurity on the livelihood activities of farm families in Ibarapa Central Local Government Area, Oyo State, Nigeria. The specific objectives were to describe the socio-economic characteristics of farm families, determine their percep...
Open access
Research Article10.9734/ajaar/2025/v25i4604
Jumai Adedoja Fabuyi, Oluwaseun Oladeji Olaniyi, Omobolaji Olufunmilayo Olateju, Nsidibe Taiwo Aideyan, Oluwatosin Selesi-Aina & Folashade Gloria Olaniyi·Archives of Current Research International·2024
This study investigates the impact of region-specific regulatory approaches on the use of deepfake technology within the entertainment industry, focusing on the United States, European Union, and China. Using data from the World Bank and OECD on regulatory quality and rule of law...
Open access
Research Article10.9734/acri/2024/v24i12997
Akinde Michael Ogunmolu, Busola Motunrayo Olawale, Oluseun Babatunde Oladoyinbo, Omobolaji Olufunmilayo Olateju & Pelumi Damola Adeyinka·Journal of Engineering Research and Reports·2026
This research developed a simulation-based framework for quantifying the carbon footprint and operational efficiency of machine-speed cybersecurity defenses in autonomous industrial control systems (ICS) and smart manufacturing environments. Traditional high-energy intrusion dete...
Open access
Research Article10.9734/jerr/2026/v28i41860
Lisa Mmesoma Udechukwu, Oluwadayo Mafolasere Olaniyi, Adebukola Oluyinka Eweoya, Omobolaji Olufunmilayo Olateju & Rukayat Oluwabukola Olasege·Asian Journal of Research in Computer Science·2025
This research developed a blockchain-enabled framework to enhance secure credentialing and access management for remote healthcare providers and patients across fragmented digital health platforms. Addressing inefficiencies in traditional systems such as lengthy verification dela...
Open access
Research Article10.9734/ajrcos/2025/v18i11776
Amaka Debie Samuel-Okon, Oluwaseun Ibrahim Akinola, Oluwaseun Oladeji Olaniyi, Omobolaji Olufunmilayo Olateju & Samson Abidemi Ajayi·Archives of Current Research International·2024
The rising threat of deepfake technology challenges public trust in media, necessitating robust countermeasures. This study proposes the Anti-DFK framework, a comprehensive strategy to mitigate the spread of deepfakes on major social platforms such as Instagram, Facebook, YouTube...
Open access
Research Article10.9734/acri/2024/v24i6794
Busola Motunrayo Olawale, Utin Nyimeobong Archibong, Nanyeneke Ravana Mayeke, Abiola Omolola Bamsa & Omobolaji Olufunmilayo Olateju·Asian Journal of Research in Computer Science·2026
This research developed and evaluated hybrid privacy-enhancing technologies (PETs) for secure sharing of land use and land cover (LULC) data across collaborative research institutions and open data ecosystems. The work was motivated by privacy risks, including re-identification v...
Open access
Research Article10.9734/ajrcos/2026/v19i5866
Olubukola Omolara Adebiyi, Anuoluwapo Deborah Popoola, Pelumi Damola Adeyinka, Aisha Temitope Arigbabu & Omobolaji Olufunmilayo Olateju·Asian Journal of Research in Computer Science·2026
This study explores how integrating blockchain technology with artificial intelligence can strengthen trust, transparency, and regulatory compliance in cross-border financial transactions. Drawing on open-source international datasets and quantitative analysis, the research shows...
Open access
Research Article10.9734/ajrcos/2026/v19i1818
Onyinye Obioha-Val, Titilayo Modupe Kolade, Michael Olayinka Gbadebo, Oluwatosin Selesi-Aina, Omobolaji Olufunmilayo Olateju & Oluwaseun Oladeji Olaniyi·Asian Journal of Research in Computer Science·2024
This study addresses critical cybersecurity vulnerabilities within U.S. infrastructure sectors, particularly energy, water, and healthcare, where high-severity vulnerabilities and ransomware continue to pose significant risks. The study applied a multi-method analytical approach...
Open access
Research Article10.9734/ajrcos/2024/v17i11517
Onyinye Obioha-Val, Oluwatosin Selesi-Aina, Titilayo Modupe Kolade, Michael Olayinka Gbadebo, Omobolaji Olufunmilayo Olateju & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2024
This study investigates the frameworks and challenges of real-time data governance and compliance in cloud-native robotics systems, focusing on data integrity, cloud security, regulatory adherence, and cybersecurity risks. Using extensive datasets from the Amazon AWS Open Data Re...
Open access
Research Article10.9734/jerr/2024/v26i111327
Oluwatosin Selesi-Aina, Nseabasi Edet Obot, Anthony Obulor Olisa, Michael Olayinka Gbadebo, Omobolaji Olufunmilayo Olateju & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2024
This study investigates the impact of artificial intelligence (AI), robotics, and cloud computing on the future of work, focusing on adoption trends, productivity gains, and ethical challenges. Using a mixed-method approach, data were sourced from the OECD AI Policy Observatory,...
Open access
Research Article10.9734/jerr/2024/v26i111315
Michael Olayinka Gbadebo, Ademola Oluwaseun Salako, Oluwatosin Selesi-Aina, Olumide Samuel Ogungbemi, Omobolaji Olufunmilayo Olateju & Oluwaseun Oladeji Olaniyi·Journal of Engineering Research and Reports·2024
This study examines the effectiveness of current data privacy protocols within cryptocurrency platforms, focusing on encryption strength, anonymity techniques, and AI-powered regulatory compliance tools. Data were sourced from CoinMarketCap and Kaggle, including metrics like Bit...
Open access
Research Article10.9734/jerr/2024/v26i111311