Journal of Forensic Research

Department of Criminal Justice, Institute of Forensic Science, le batochime, 1015 Lausanne-Dorigny, Switzerland

Publications

• Mini Review   
  Exploring the Efficacy of a Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data
  Author(s): Sofia Hana*
  
  Anomaly detection in digital forensics data is critical for identifying suspicious activities and potential security breaches. This mini-review investigates the efficacy of a novel Support Vector Neural Network (SVNN) for anomaly detection in digital forensics datasets. By examining recent literature, this article elucidates the principles of SVNN, its advantages over traditional methods, and its application in detecting anomalous behavior in various forensic scenarios. Furthermore, it discusses challenges, opportunities, and future directions for enhancing anomaly detection using SVNN in digital forensics investigations... Read More»
  DOI: 10.37421/2157-7145.2024.15.609

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