Udochukwu ThankGod Ikechukwu Igwenagu

Securing the Digital Frontier: Strategies for Cloud Computing Security, Database Protection, and Comprehensive Penetration Testing

Udochukwu ThankGod Ikechukwu Igwenagu, Abidemi Ayodotun Salami, Abayomi Shamsudeen Arigbabu, Cassandra Esambe Mesode, Tunbosun Oyewale Oladoyinbo & Oluwaseun Oladeji Olaniyi · Journal of Engineering Research and Reports · 2024

This research paper explores the effectiveness of integrated cybersecurity strategies, focusing on the amalgamation of cloud computing security, database protection, and penetration testing into a unified risk management framework. The primary aim is to evaluate how such integrat...

Open access Research Article 10.9734/jerr/2024/v26i61162

Beyond Conventional Threat Defense: Implementing Advanced Threat Modeling Techniques, Risk Modeling Frameworks and Contingency Planning in the Healthcare Sector for Enhanced Data Security

Abidemi Ayodotun Salami, Udochukwu ThankGod Ikechukwu Igwenagu, Cassandra Esambe Mesode, Oluwaseun Oladeji Olaniyi & Oluseun Babatunde Oladoyinbo · Journal of Engineering Research and Reports · 2024

This research study explores the integration of advanced threat and risk modeling with scenario and contingency planning to enhance security and resilience within healthcare organizations. Given the escalating complexity and frequency of cyber threats targeting the healthcare sec...

Open access Research Article 10.9734/jerr/2024/v26i51156

Combating the Challenges of False Positives in AI-Driven Anomaly Detection Systems and Enhancing Data Security in the Cloud

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 Article 10.9734/ajrcos/2024/v17i6472

Formulating Global Policies and Strategies for Combating Criminal Use and Abuse of Artificial Intelligence

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 Article 10.9734/acri/2024/v24i5735