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