Adekunbi Justina Ajayi

The Impact of Artificial Intelligence on Cyber Security in Digital Currency Transactions

Adekunbi Justina Ajayi, Sunday Abayomi Joseph, Olufunke Cynthia Metibemu, Abayomi Titilola Olutimehin, Adebayo Yusuf Balogun & Oluwaseun Oladeji Olaniyi · Archives of Current Research International · 2025

Artificial intelligence (AI) is revolutionizing cybersecurity in digital currency transactions by enhancing fraud detection and risk mitigation. This study leverages machine learning techniques, including logistic regression and random forest classifiers, to evaluate AI’s efficac...

Open access Research Article 10.9734/acri/2025/v25i21090

Adversarial Threats to AI-Driven Systems: Exploring the Attack Surface of Machine Learning Models and Countermeasures

Abayomi Titilola Olutimehin, Adekunbi Justina Ajayi, Olufunke Cynthia Metibemu, Adebayo Yusuf Balogun, Tunbosun Oyewale Oladoyinbo & Oluwaseun Oladeji Olaniyi · Journal of Engineering Research and Reports · 2025

Adversarial attacks pose a critical threat to the reliability of AI-driven systems, exploiting vulnerabilities at the data, model, and deployment levels. This study employs a quantitative analysis using the CIFAR-10 Adversarial Examples Dataset from IBM’s Adversarial Robustness T...

Open access Research Article 10.9734/jerr/2025/v27i21413

Developing Proactive Threat Mitigation Strategies for Cloud Misconfiguration Risks in Financial SaaS Applications

Olufunke Cynthia Metibemu, Temilade Oluwatoyin Adesokan-Imran, Adekunbi Justina Ajayi, Olufisayo Juliana Tiwo, Abayomi Titilola Olutimehin & Oluwaseun Oladeji Olaniyi · Journal of Engineering Research and Reports · 2025

Cloud misconfigurations in financial Software-as-a-Service (SaaS) applications pose significant cybersecurity risks, leading to data breaches, financial losses, and reputational harm. This study utilizes data from the Cloud Security Alliance (CSA) Top Threats Dataset, Verizon Dat...

Open access Research Article 10.9734/jerr/2025/v27i31442

Future-Proofing Data: Assessing the Feasibility of Post-Quantum Cryptographic Algorithms to Mitigate ‘Harvest Now, Decrypt Later’ Attacks

Abayomi Titilola Olutimehin, Sunday Abayomi Joseph, Adekunbi Justina Ajayi, Olufunke Cynthia Metibemu, Adebayo Yusuf Balogun & Oluwaseun Oladeji Olaniyi · Archives of Current Research International · 2025

This study evaluates the feasibility of post-quantum cryptographic (PQC) algorithms in mitigating "Harvest Now, Decrypt Later" (HNDL) attacks as quantum computing advances threaten classical encryption. Using datasets from the NIST Post-Quantum Cryptography Project, Deloitte’s PQ...

Open access Research Article 10.9734/acri/2025/v25i31098

Enhancing Data Resilience in Cloud-based Electronics Health Records through Ransomware Mitigation Strategies Using NIST and MITRE ATT&CK Frameworks

Seun Michael Oyekunle, Olufisayo Juliana Tiwo, Temilade Oluwatoyin Adesokan-Imran, Adekunbi Justina Ajayi, Ademola Oluwaseun Salako & Oluwaseun Oladeji Olaniyi · Journal of Engineering Research and Reports · 2025

The increasing adoption of cloud-based Electronic Health Records (EHRs) has transformed healthcare by enhancing data accessibility, interoperability, and patient care efficiency. However, this transition has also introduced new cybersecurity vulnerabilities, with ransomware emerg...

Open access Research Article 10.9734/jerr/2025/v27i31444

The Ethical and Legal Implications of Shadow AI in Sensitive Industries: A Focus on Healthcare, Finance and Education

Adebayo Yusuf Balogun, Olufunke Cynthia Metibemu, Abayomi Titilola Olutimehin, Adekunbi Justina Ajayi, Damilola Comfort Babarinde & Oluwaseun Oladeji Olaniyi · Journal of Engineering Research and Reports · 2025

This study examines the ethical and legal implications of Shadow AI in healthcare, finance, and education by analyzing unauthorized AI deployments and their impact on data privacy, cybersecurity, and regulatory compliance. Using a quantitative research approach, descriptive stati...

Open access Research Article 10.9734/jerr/2025/v27i31414